Browse Subject Areas

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Guidance in author instructions of hematology and oncology journals: A cross sectional and longitudinal study

  • Ingrid Toews,

    Affiliation Cochrane Germany, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

  • Nadine Binder,

    Affiliation Institute for Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany

  • Robert F. Wolff,

    Affiliation Kleijnen Systematic Reviews Ltd, Unit 6, Escrick Business Park, Escrick, York, United Kingdom

  • Guenes Toprak,

    Affiliation Cochrane Germany, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

  • Erik von Elm,

    Affiliation Cochrane Switzerland, Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Lausanne, Switzerland

  • Joerg J. Meerpohl

    Affiliations Cochrane Germany, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité – U1153, Inserm / Université Paris Descartes, Cochrane France, Hôpital Hôtel-Dieu, Paris, France

Guidance in author instructions of hematology and oncology journals: A cross sectional and longitudinal study

  • Ingrid Toews, 
  • Nadine Binder, 
  • Robert F. Wolff, 
  • Guenes Toprak, 
  • Erik von Elm, 
  • Joerg J. Meerpohl



The debate about the value of biomedical publications led to recommendations for improving reporting quality. It is unclear to what extent these recommendations have been endorsed by journals. We analyzed whether specific recommendations were included in author instructions, which journal characteristics were associated with their endorsement, how endorsement of the domains changed and whether endorsement was associated with change of impact factor between 2010 and 2015.


We considered two study samples consisting of “Hematology” and “Oncology” journals of the Journal Citation Report 2008 and 2014, respectively. We extracted information regarding endorsement of the (1) recommendations of the International Committee of Medical Journal Editors, of (2) reporting guidelines, (3) requirement for trial registration and (4) disclosure of conflicts of interest. Data extraction was done by reading the author instructions before conducting a text search with keywords. We calculated a global generalized linear mixed effects model for endorsement of each of the four domains followed by separate multivariable logistic regression models and a longitudinal analysis. We defined endorsement as the author instructions saying that they approve the use of the recommendations.


In 2015, the ICMJE recommendations were mentioned in author instructions of 156 journals (67.5%). CONSORT was referred to by 77 journals (33.3%); MOOSE, PRISMA, STARD and STROBE were referred to by less than 15% of journals. There were 99 journals (42.9%) that recommended or required trial registration, 211 (91.3%) required authors to disclose conflicts of interest. Journal impact factor, journal start year and geographical region were positively associated with endorsement of any of the four domains. The overall endorsement of all domains increased between 2010 and 2015. The endorsement of any domain in 2010 seemed to be associated with an increased impact factor in 2014.


Hematology and oncology journals endorse major recommendations to various degrees. Endorsement is increasing slowly over time and might be positively associated with the journals’ impact factor.


The successful translation of findings from research into clinical practice depends on the timely, accurate and complete reporting of study methodology and results [1]. Still, the overall quality of study reports is moderate to poor, as several studies have shown [25]. Additional measures of good publication practice, such as disclosure of potential conflicts of interest, ensure that users can assess the validity of research results and apply them correctly [6, 7]. In addition, the value of biomedical research is increased by transparent and targeted research priorities. Transparent study planning, conduct and reporting are measures to reduce research waste as laid out by the Lancet series in 2014 [8, 9]. Journals’ author instructions might have potential to increase the value and transparency in biomedical research.

In the past, several recommendations have been proposed to improve reporting quality and publication practice: First, the International Committee of Medical Journal Editors (ICMJE) publishes the Recommendations for the Conduct, Reporting, Editing and Publication of Scholarly Work in Medical Journals [10]. This consensus document covers themes ranging from ethical aspects, such as the role and responsibilities regarding the publication of biomedical research, publication issues such as duplicate and overlapping publications, to preparation, structure and submission of manuscripts including reference style and formatting directions. To date, it has been endorsed by over 2,600 biomedical journals worldwide (

Second, specific reporting guidelines, such as the CONSORT Statement for randomized parallel-group trials, were developed to help authors improve the completeness and accuracy of publications about clinical research [11]. Although it has been demonstrated in systematic reviews that there might be a beneficial effect of adhering to reporting guidelines, it has to be noted that some studies included in this review also showed a negative or no effect [12]. Whether reporting guidelines are being endorsed by biomedical journals has been studied repeatedly for general medicine [1318] but less so for medical specialties [1925] and, to our knowledge, not in journals of hematology & oncology.

Third, registration of clinical trials prior to patient enrollment has been advocated for years as an important step to overcome selective reporting of trial results [26]. Registration rates of hematology trials were reported to increase over time [27] and issues of selective reporting of both entire studies and individual study outcomes have been widely recognized [28].

Finally, there is a continued debate about the disclosure of potential conflicts of interest [2932]. Authors as well as journal editors and reviewers potentially have financial ties or academic or personal interests in conflict with a manuscript that is to be accepted or rejected for publication.

We hypothesized that specific journal characteristics are associated with the endorsement of these four domains in different ways. Firstly, high profile journals pay more attention to the quality of the articles they publish and might therefore be more likely to endorse recommendations for good publication practice. Secondly, the journals’ start year might determine how established the journal is and how large its readership is. The number of readers of new journals might be limited once the journal is newly published and increase with time. Long-standing journals might have more resources for and experience in drafting, implementing and monitoring their author instructions and editorial procedures and might therefore be more likely to endorse reporting guidelines and other policies. Thirdly, editorial practices and policies may vary by geographical region of publication. Further, geographical region of publication in connection to publication language can limit the journals’ readership, for example, journals published in languages other than English have a smaller potential readership. This might have an impact on the journals’ popularity which in turn might affect the size of the editorial team and the resources available to endorse recommendations for good publication practice in author instructions. Additionally, the limited availability of reporting guidelines in languages other than English might pose a barrier to their endorsement and adherence.

Study objectives

Our first objective was to elucidate whether journals’ author instructions endorse recommendations or requirements on adherence to selected recommendations from four domains for transparent reporting. In the second objective, we sought to answer whether journal characteristics are associated with the endorsement of the domains. The third objective was to detect time trends in the endorsement of the four domains between 2010 and 2015. Our fourth objective was to analyze whether the endorsement of any domain was associated with changes of the journal impact factor between 2010 and 2014.


We used a cross-sectional study design to examine the current author instructions in “hematology” and “oncology” journals. In addition, we employed a longitudinal design to examine the development of the content of the author instructions in these journals over time.

Study sample

For the cross-sectional part of the study, we accessed the most recent Journal Citation Report (JCR 2014) (Science Edition [33]) through the Institute for Scientific Information’s Web of Knowledge web site and compiled a list of all journals in the subject categories “Hematology”and “Oncology”in July and August 2015 (Fig 1). Duplicate entries were removed in case they were listed in both categories. Furthermore, journals which did not report on original research in their published articles and whose author instructions were not available online for analyses were excluded (Fig 1).

Fig 1. Flow chart—Journal selection for the cross sectional study part.

The study sample for the longitudinal study part consisted of journals listed in the Journal Citation Report 2008 (Science Editions) in the subject categories “Hematology”and “Oncology”(see Fig 2). This was the most recent Journal Citation Report when the study was started in early 2010. Duplicate entries were removed and journals which did not report on original research or whose author instructions were not available online were excluded.


For the cross-sectional study part we downloaded the current author instructions and related documents from the journals’ web sites between July and August 2015. These include documents titled: instructions to authors, information for authors, author guides and guidelines, information to contributors, submission guidelines, information of conflicts of interest, journal policies, manuscript guidelines, instructions for manuscript preparation etc. One researcher first read all documents and then used relevant electronic keywords to search the text. The following keywords were used to search the document text for relevant information: Equator, enhanced, consort, consolidated, strobe, stard, moose, quorum, prisma, 1991, 1997, Moher, meta, reporting, ICMJE, international, uniform, committee, regis*, trial, depos*, interest, confl*, comp*. Texts were searched for passages on the following four domains for which we assessed endorsement in the author instructions:

  • Endorsement of the ICMJE recommendations
  • Endorsement of the following five reporting guidelines
    • Consolidated Standards of Reporting Trials (CONSORT) statement [34, 35]
    • Meta-analysis of Observational Studies in Epidemiology (MOOSE) [36]
    • Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement (replaced the earlier QUOROM statement) [37, 38]
    • Standards for Reporting of Diagnostic Accuracy (STARD) statement [3941]
    • Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement [42, 43]
    • Mention of the EQUATOR network
  • Recommendation/Requirement for trial registration
  • Editorial policy for disclosure of conflicts of interests of authors

We define endorsement of any domain as the author instructions saying that they approve or support the use of any of the recommendations. This was done by checking whether the author instructions mentioned the domain or a closely related aspect, e.g., a reference to a publication of a reporting guideline, in the author instructions.

Data were extracted independently in a random sample of 10% of the retrieved journals by a second researcher. Discrepancies were noted in only 2.3% of the entries corresponding to an almost perfect agreement (κ = 1.00 (p>0.001)) [44].

Based on the wording of the author instructions, we determined whether (i) a journal required adherence to a specific domain, for example, by stating that trial registration is a requirement for publication and wording that implies that the paper would not be published without trial registration, (ii) recommended its use, for example, by stating that authors should/ or are recommended to pay attention to a certain reporting guideline, or (iii) did not mention it at all. For conflict of interest statements we distinguished between journals that (i) did not mention whether authors were asked to disclose conflicts of interest, (ii) “would (likely)” publish a statement with the article or whether it (iii) “would (likely) not” publish a statement with the article. Journal characteristics were extracted from the Journal Citation Report or, in case of unavailability, from the National Library of Medicine Catalog of journals referenced in the National Center for Biotechnology Information Databases ( Information extracted included start year, language and geographical region of publication, publisher, and journal impact factor.

For the longitudinal study part, author instructions were retrieved from the journals’ websites during three time periods i.e. from March to May 2010, in July 2012 and from July to August 2015, respectively. For follow-up data extraction, we aimed at retrieving data early after the annual impact factor release to enable the timely analyses. In 2010 and 2012 two investigators independently first read the author instructions and then used the following keywords to search the text for passages on the four domains of interest: Equator, enhanced, consort, consolidated, strobe, stard, moose, quorum, prisma, 1991, 1997, Moher, meta, reporting, ICMJE, international, uniform, committee, regis*, trial, depos*, interest, confl*, comp*, disclo*. Any discrepancies were resolved by rechecking the respective web sites and discussion amongst the authors.

All variables were selected prior to conducting the analyses. In the supporting information to this manuscript (S1 File. Data Variables) there is a comprehensive overview of the variables and their values used for the respective models as outlined in the statistical analysis section. We note here that we dichotomized geographical region for use in the models. Using original categories for region of publication caused model convergence problems as there were too few journals from Australasia. So we decided to dichotomize the variable distinguishing journals from North America from those elsewhere, as this resulted in almost equally sized groups (45% vs. 55%) and it also seemed reasonable from a geographical point of view.

Statistical analysis

We employed a global generalized linear mixed effects model[45], encompassing all domains and all journals by a publisher, to investigate whether there are general effects resulting, e.g., from a general policy (affecting several domains) used for all journals of a publisher (cross-sectional study part). In this global model, publisher-specific effects are modeled by a random intercept, corresponding to different levels of endorsement per publisher. The random intercept takes into account that there are several journals per publisher, and several domains assessed per journal. A second random intercept term is used for the domains, reflecting a potential different level of endorsement per domain. To allow for domain-specific effects of the other covariates (journal impact factor, geographical region, language, start year, and medical category), we fitted one mixed effects model per domain. For journal impact factor we used the log-transformed value as unit steps. Goodness of model fit was achieved using the Akaike Information Criterion (AIC), which selects the actual parameters required for the particular degree of fit by imposing a penalty for increasing the number of parameters. Model quality was measured by considering the log likelihood value from the full model (all parameters included) and the final model (after model selection).

Differences in the trend for endorsement of any domain over time (since 2010) and corresponding variations between the domains (longitudinal study part) were estimated using a generalized linear mixed-effects model with endorsement as response, and a random intercept for the journals to take repeated measurements (sample years 2010, 2012, and 2015) into account. To assess whether trends in endorsement over time differ between domains, we added a random time slope, allowing for different trends for different domains.

To assess whether endorsement of any domain is associated with an increase in the journal impact factor (longitudinal study part) we fitted a linear mixed-effects model with difference in journal impact factor between 2010 and 2014 as outcome and domain endorsement in 2010 as well as further 2010 journal characteristics, such as the publication language (English vs. multi-language), geographical region of publication (not North America vs. North America), as independent variables allowing for random variability between the different domain characteristics. All statistical analyses were conducted using the software environment for statistical computing R, version 3.1.2 [46]. For all mixed models with binary outcome (endorsement yes/no), we used function “glmer” from R package lme4. For the longitudinal analysis investigating potential effects on change in impact factor (continuous outcome), we used function “lmer” from R package lme4. Statistical significance was set at p-value < 0.05.

All original data are available in the supporting information files (S2 File Extracted Data 2010, S3 File Extracted Data 2012, S4 File Extracted Data 2015).


Cross-sectional study part

The sample for the cross-sectional part of our study included 231 journals in total (Fig 1).

The sample characteristics are shown in Table 1. The journals were published by 56 publishers; the median number of journals per publisher was 4 (range 1–34).

Table 1. Characteristics of the study sample for the cross-sectional study part.

Endorsement of domains in 2015.

As of July 2015, the ICMJE recommendations were referred to by 156 journals (67.5%), of which 141 (90.4%) also gave the current Web URL of the ICMJE for further reference (Table 2). The ICMJ recommendations were mentioned in various contexts within the author instructions: some of the journals referred to it as a document for general guidance, others for one or more selected aspects such as ethical considerations (89 journals; 57.0%), manuscript preparation (46 journals; 29.5%) or publication considerations (22 journals; 14.1%).

The proportions of journals endorsing different reporting guidelines are listed in Table 2.

Trial registration was mentioned by 99 journals (42.9%). Of these, 82 journals (82.8%) required registration of a trial as a precondition for publication and 61 journals (61.6%) also indicated a suitable trial registry such as the ones listed in the WHO International Clinical Trials Registry Platform (, ( by the U.S. National Institutes of Health and others.

According to their website, most journals (211; 91.3%) had a policy for disclosure of conflicts of interests of authors. We judged based on provided information in the author instructions that 146 (63.2% of the journals with conflict of interest policy) would publish or consider publishing a conflict of interest statement together with a manuscript.

Association of journal characteristics with endorsement in 2015.

In the global mixed model log journal impact factor had a strong significant association with general endorsement of any of the domains (OR 1.79 95% confidence interval 1.38 to 2.33). We fitted separate multivariable mixed effects models. For these models, after backward elimination of variables, log journal impact factor mostly had a positive, statistical significant association with endorsement of any of the four domains of interest, except for disclosure of conflicts of interest (Table 3, columns indicated as “Final”). For instance, a change in the log impact factor of 1 was associated with a 1.88-times (95% confidence interval: 1.02 to 3.46) higher odds of endorsement of the ICMJE recommendations. Similar positive associations were found of journal impact factor with endorsement of any of the reporting guidelines and trial registration (Table 3). In addition, geographical region of publication was associated with the endorsement of any domain and trial registration. Journals’ start year was also associated with the endorsement of any domain, but only borderline statistically significant with the endorsement of any reporting guideline. Language of publication and journal subject category did not show significant associations with endorsement of any domain.

Table 3. Association of journal characteristics with domain endorsement in 2015 and random effects accounting for publisher or domain-specific variation, type and model quality§, for both the full model (Full) containing all covariates as well as the final model (Final) containing AIS-selected variables only.

Furthermore, there seems to be a strong random intercept effect of publisher on the endorsement of any domain and of the individual domains, especially reporting guidelines (variance > 10) (Table 3).

Longitudinal study part

The sample of journals used for evaluation of time trends in the longitudinal part of the study is described in Table 4 and the process of sample selection is shown in Fig 2.

Table 4. Characteristics of the study sample for the longitudinal study part.

Four journals were not followed up until 2015, because for three of them the author instructions were not found freely available online for analysis in 2015 and one journal was not included in the Journal Citation Report 2014.

Trend for endorsement over time (2010–2015).

The trend for endorsement of the domains is illustrated in Fig 3, with corresponding numbers and percentage of journals endorsing for each domain given in Table 5.

Fig 3. Trend of endorsement between 2010 and 2015.

ICMJE = recommendations by the ICMJE; CoI = Conflict of interest. Within each curve the dots show the percentage of journals which endorsed the domains in 2010, 2012 and 2015 respectively (from left to right)

Endorsement of any of the four domains increased over time, and this increase was statistically significant in the generalized linear mixed effects model (p≤1e-05, based on asymptotic Wald test for generalized linear mixed-effects model). However, judged from the estimated variance of the random time slope, the magnitude of this increase in endorsement over time did not differ significantly between the different domains (variance < 0.0004).

Impact of endorsement in 2010 on journal impact factor difference (2014–2010).

Data suggests that endorsement of any one domain in journals’ author instructions might be positively associated with an individual increase in journal impact factor (RR 1.34, 95% confidence interval -0.95 to 1.89). However, we cannot rule out that this result is due to chance. The type of domain endorsed in the author instructions was not associated with the journal impact factor (random effect variance 0.00). Further journal characteristic associated with a change in journal impact factor were found to be a higher log impact factor in 2010, North America as region of publication and English as publication language (see Table 6).

Table 6. Association of journal characteristics with change in journal impact factor (2014–2010) for both the full model (Full) containing all covariates as well as the final model (Final) as a result of model selection.


We analyzed to which extent author instructions of hematology and oncology journals provide guidance on different aspects of reporting quality and good publication practice. The ICMJE recommendations were mentioned by about two thirds of journals. The most commonly endorsed reporting guideline was the CONSORT statement, but it was referred to by only about a third of journals. Trial registration was mentioned by about 40% of the journals of which the majority required it as precondition for publication. In journals of hematology and oncology conflict of interest policies were laid out most often as was also shown recently by Kesselheim et al. [47]. Of several journal characteristics, the journal impact factor consistently showed a significant positive association with endorsement of any reporting guideline, the recommendations by the ICMJE and trial registration while start year and geographical region of journals were associated with endorsement of fewer of the domains in the author instructions. Despite the intrinsic weaknesses of the journal impact factor as a quality indicator [48], our study confirms its association with good publication practice as found in previous studies [11, 19, 25, 49]. Our study has shown that the endorsement of any of the domains is likely also associated with a stronger increase in journal impact factor.

We found the highest proportion of endorsement for a policy on disclosure of conflict of interest, low proportions who mentioned the registration of clinical trials and the lowest proportion of endorsement for reporting guidelines. Interestingly, this pattern seems to be very consistent across different medical fields including general medicine [14, 50], psychiatry [21], pediatrics [19, 20], surgery [24, 25] and urology [51, 52]. For instance, trial registration was required or recommended by 23% of pediatric journals indexed in the Journal Citation Report [19] compared to 35.5% of hematology and oncology journals. It is important to note that, although one third of hematology and oncology journals require or recommend trial registration, nearly two thirds still do not mention trial registration in their author instructions. It has to be noted that our sample included journals that do not publish research in humans but only studies for which trial registration is rarely applicable, such as basic research. However, the description of the scope and content of a journal as well as its author instructions and the tables of content are often not distinct enough to distinguish journals that publish human studies and those that do not. Therefore it is challenging to correctly determine which journals’ author instructions should actually endorse trial registration.

The consistency of the inclusion of the different domains across different subsets of journals suggests that journal editors consider disclosure of conflict of interest to be more important than registration of clinical trials or use of reporting guidelines. This lack of attention to the latter two issues is problematic given the importance of transparent and complete reporting for the translation of published study results into clinical practice [8, 53]. This is astounding given that empirical data have shown that only about 10% of 262 randomized controlled trials in oncology completely reported on a set of 10 items deemed necessary to fully describe the applied therapeutic intervention and thereby allow for replication of the trial intervention [2]. Other studies used scores based on the CONSORT statement and found moderate or poor reporting quality of oncology trials but some improvement over time e.g. in a set of 72 sarcoma trials published between 1988 and 2008 [54]. The overall reporting quality was also poor in 44 palliative oncology trials published between 2004 and 2009 [55].

The strengths of our study include a comprehensive and transparent selection of high profile journals as study sample as well as a very comprehensive list of items investigated compared to previous studies about author instructions for hematology and oncology journals [32]. Furthermore, unlike most other studies of author instructions, we looked not only at the status quo but analyzed also the change over time. High standards for the retrieval and extraction of the data were used. Besides the author instructions other available documents, for example, ethical guidelines of the journal were retrieved and searched. The data extraction was conducted manually with the help of text word searches and reading each document carefully and reached nearly perfect agreement in a 10% sample. Lastly, the statistical analyses were thorough and considered confounding factors which might have influenced the results.

There are some limitations to our study. First, since the Journal Citation Report covers only a selection of hematology and oncology journals the study sample might not be representative of all journals in this field and in particular not of non-English journals. Second, we did not investigate whether and how author instructions were implemented and endorsed in practice or whether other policies that might impact on the editorial process, such as peer review policies were in place. It also might well be that various aspects within author instructions are not necessarily enforced in everyday editorial practice [56]. Our study reviewed potentially volatile online-resources, which are subject to ongoing change and updates. Hence, information in the author instructions might have changed in the meantime. Lastly, we have only analyzed author instructions which were publicly accessible online. Some journals might provide more detailed author instructions after requiring authors to log into a platform or managing software. Therefore, we might have missed information which is only available during the actual submission process.

In order to increase the uptake of measures that aim at improving reporting quality and making research transparent and reproducible it is recommended that editors endorse them in author instructions [57] and make them accessible to authors [58]. Consequently editorial teams and peer-reviewers should pay close attention to the adherence to transparency and reporting guidelines by authors [57]. The editorial process could be enhanced by making it a two-step process where editors or peer-reviewers first check for the endorsement of relevant recommendations for increasing reporting quality and then review the content of the manuscript. The editorial process could also be supported by semi-automated checking for the endorsement of recommendations.

In conclusion, major hematology and oncology journals have not yet implemented the four domains aiming to improve publication practice in their author instructions as widely as would be needed to improve the published record of cancer research. The promotion of reporting guidelines and enforcement of generally accepted standards, such as prospective trial registration, could further improve the utility of published study results. Transparency is a sine qua non for clinical research that ultimately aims to translate into better quality of care and health for patients.


Dr von Elm is one of the authors of the STROBE statement and an academic editor of PLOS ONE.

Author Contributions

  1. Conceptualization: IT NB RFW EvE JJM.
  2. Formal analysis: NB.
  3. Investigation: IT RFW EvE GT JJM.
  4. Methodology: IT NB JJM.
  5. Project administration: JJM.
  6. Supervision: JJM.
  7. Visualization: IT NB JJM.
  8. Writing – original draft: IT NB RFW EvE JJM.
  9. Writing – review & editing: IT NB RFW EvE JJM.


  1. 1. Dancey JE. From quality of publication to quality of care: translating trials to practice. J Natl Cancer Inst. 2010;102(10):670–1. Epub 2010 Apr 21. pmid:20410467
  2. 2. Duff JM, Leather H, Walden EO, LaPlant KD, George TJ Jr. Adequacy of published oncology randomized controlled trials to provide therapeutic details needed for clinical application. J Natl Cancer Inst. 2010;102(10):702–5. Epub 2010 Apr 21. pmid:20410466
  3. 3. Ioannidis JP. Adverse events in randomized trials: neglected, restricted, distorted, and silenced. Arch Intern Med. 2009;169(19):1737–9. pmid:19858427
  4. 4. Pitrou I, Boutron I, Ahmad N, Ravaud P. Reporting of safety results in published reports of randomized controlled trials. Arch Intern Med. 2009;169(19):1756–61. pmid:19858432
  5. 5. Sinha S, Ashby E, Jayaram R, Grocott MP. Quality of reporting in randomized trials published in high-quality surgical journals. J Am Coll Surg. 2009;209(5):565–71 e1. Epub 2009/10/27. pmid:19854395
  6. 6. Bekelman JE, Li Y, Gross CP. Scope and impact of financial conflicts of interest in biomedical research: a systematic review. Jama. 2003;289(4):454–65. pmid:12533125
  7. 7. Lexchin J, Bero LA, Djulbegovic B, Clark O. Pharmaceutical industry sponsorship and research outcome and quality: systematic review. BMJ. 2003;326(7400):1167–70. pmid:12775614
  8. 8. Glasziou P, Altman DG, Bossuyt P, Boutron I, Clarke M, Julious S, et al. Reducing waste from incomplete or unusable reports of biomedical research. Lancet (London, England). 2014;383(9913):267–76.
  9. 9. Ioannidis JPA, Greenland S, Hlatky MA, Khoury MJ, Macleod MR, Moher D, et al. Increasing value and reducing waste in research design, conduct, and analysis. Lancet (London, England). 2014;383(9912):166–75.
  10. 10. International Committee of Medical Journal Editors. Recommendations for the Conduct, Reporting, Editing, and Publication of Scholarly work in Medical Journals 2015 [cited 2015 23 December 2015].
  11. 11. Plint AC, Moher D, Morrison A, Schulz K, Altman DG, Hill C, et al. Does the CONSORT checklist improve the quality of reports of randomised controlled trials? A systematic review. The Medical journal of Australia. 2006;185(5):263–7. Epub 2006/09/05. pmid:16948622
  12. 12. Tao K-m, Li X-q, Zhou Q-h, Moher D, Ling C-q, Yu W-f. From QUOROM to PRISMA: A Survey of High-Impact Medical Journals' Instructions to Authors and a Review of Systematic Reviews in Anesthesia Literature. PLoS ONE. 2011;6(11):e27611. pmid:22110690
  13. 13. Altman DG. Endorsement of the CONSORT statement by high impact medical journals: survey of instructions for authors. BMJ. 2005;330(7499):1056–7. Epub 2005/05/10. pmid:15879389
  14. 14. Hopewell S, Altman DG, Moher D, Schulz KF. Endorsement of the CONSORT Statement by high impact factor medical journals: a survey of journal editors and journal 'Instructions to Authors'. Trials. 2008;9(1):20.
  15. 15. Li X-q, Tao K-m, Zhou Q-h, Moher D, Chen H-y, Wang F-z, et al. Endorsement of the CONSORT Statement by High-Impact Medical Journals in China: A Survey of Instructions for Authors and Published Papers. PLoS ONE. 2012;7(2):e30683. pmid:22348017
  16. 16. McLeroy KR, Northridge ME, Balcazar H, Greenberg MR, Landers SJ. Reporting Guidelines and the American Journal of Public Health’s Adoption of Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Am J Public Health. 2012;102(5):780–4. pmid:22420806
  17. 17. Schriger DL, Arora S, Altman DG. The Content of Medical Journal Instructions for Authors. Ann Emerg Med. 2006;48(6):743–9.e4. pmid:17112938
  18. 18. Smidt N, Overbeke J, de Vet H, Bossuyt P. Endorsement of the STARD Statement by biomedical journals: survey of instructions for authors. Clinical chemistry. 2007;53(11):1983–5. Epub 2007/10/24. pmid:17954503
  19. 19. Meerpohl JJ, Wolff RF, Niemeyer CM, Antes G, von Elm E. Editorial policies of pediatric journals: survey of instructions for authors. Archives of pediatrics & adolescent medicine. 2010;164(3):268–72. Epub 2010/03/03.
  20. 20. Meerpohl JJ, Wolff RF, Antes G, von Elm E. Are pediatric Open Access journals promoting good publication practice? An analysis of author instructions. BMC pediatrics. 2011;11:27. Epub 2011/04/12. pmid:21477335
  21. 21. Knüppel H, Metz C, Meerpohl JJ, Strech D. How Psychiatry Journals Support the Unbiased Translation of Clinical Research. A Cross-Sectional Study of Editorial Policies. PLoS ONE. 2013;8(10):e75995. pmid:24146806
  22. 22. Pellizzon Rde F, Montero EF, Poblacion DA, Monteiro R, Castro RC. Brazilian scientific journals in surgery. III: Analysis of the instructions for authors based on Vancouver uniform requirements. Acta cirurgica brasileira / Sociedade Brasileira para Desenvolvimento Pesquisa em Cirurgia. 2007;22(6):503–17. Epub 2008/02/01.
  23. 23. Reveiz L, Villanueva E, Iko C, Simera I. Compliance with clinical trial registration and reporting guidelines by Latin American and Caribbean journals. Cadernos de saude publica. 2013;29(6):1095–100. Epub 2013/06/20. pmid:23778541
  24. 24. Shantikumar S, Wigley J, Hameed W, Handa A. A survey of instructions to authors in surgical journals on reporting by CONSORT and PRISMA. Ann R Coll Surg Engl. 2012;94(7):468–71.
  25. 25. Smith TA, Kulatilake P, Brown LJ, Wigley J, Hameed W, Shantikumar S. Do surgery journals insist on reporting by CONSORT and PRISMA? A follow-up survey of ‘instructions to authors’. Ann Med Surg. 2015;4(1):17–21.
  26. 26. Sim I, Chan AW, Gulmezoglu AM, Evans T, Pang T. Clinical trial registration: transparency is the watchword. Lancet. 2006;367(9523):1631–3. Epub 2006/05/23. pmid:16714166
  27. 27. You B, Gan HK, Pond G, Chen EX. Consistency in the Analysis and Reporting of Primary End Points in Oncology Randomized Controlled Trials From Registration to Publication: A Systematic Review. J Clin Oncol. 2012;30(2):210–6. pmid:22162583
  28. 28. Dwan K, Altman DG, Arnaiz JA, Bloom J, Chan AW, Cronin E, et al. Systematic review of the empirical evidence of study publication bias and outcome reporting bias. PLoS ONE. 2008;3(8):e3081. Epub 2008/09/05. pmid:18769481
  29. 29. Smith R. Beyond conflict of interest. Transparency is the key. BMJ. 1998;317(7154):291–2. pmid:9685268
  30. 30. Bhargava N, Qureshi J, Vakil N. Funding source and conflict of interest disclosures by authors and editors in gastroenterology specialty journals. Am J Gastroenterol. 2007;102(6):1146–50. Epub 2007/05/29. pmid:17531007
  31. 31. Lundh A, Sismondo S, Lexchin J, Busuioc Octavian A, Bero L. Industry sponsorship and research outcome. Cochrane Database Syst Rev [Internet]. 2012; (12).
  32. 32. Kesselheim AS, Lee JL, Avorn J, Servi A, Shrank WH, Choudhry NK. Conflict of interest in oncology publications. Cancer. 2012;118(1):188–95. pmid:21717432
  33. 33. Journal Citation Report 2014 [Internet]. 2014.
  34. 34. Schulz KF, Altman DG, Moher D. CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. PLoS Med. 2010;7(3):e1000251. Epub 2010/03/31. pmid:20352064
  35. 35. Moher D, Hopewell S, Schulz KF, Montori V, Gotzsche PC, Devereaux PJ, et al. CONSORT 2010 Explanation and Elaboration: Updated guidelines for reporting parallel group randomised trials. J Clin Epidemiol. 2010;63(8):e1–37. Epub 2010/03/30. pmid:20346624
  36. 36. Stroup DF, Berlin JA, Morton SC, Olkin I, Williamson GD, Rennie D, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. Jama. 2000;283(15):2008–12. pmid:10789670
  37. 37. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ. 2009;339:b2535. Epub 2009/07/23. pmid:19622551
  38. 38. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gotzsche PC, Ioannidis JP, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. 2009;339:b2700. Epub 2009/07/23. pmid:19622552
  39. 39. Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig LM, et al. The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. AnnInternMed. 2003;138(1):W1–12.
  40. 40. Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig LM, et al. Towards complete and accurate reporting of studies of diagnostic accuracy: The STARD Initiative. AnnInternMed. 2003;138(1):40–4.
  41. 41. Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig L, et al. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ. 2015;351.
  42. 42. von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Ann Intern Med. 2007;147(8):573–7. Epub 2007/10/17. pmid:17938396
  43. 43. Vandenbroucke JP, von Elm E, Altman DG, Gotzsche PC, Mulrow CD, Pocock SJ, et al. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration. Ann Intern Med. 2007;147(8):W163–94. Epub 2007/10/17. pmid:17938389
  44. 44. McGinn T, Wyer PC, Newman TB, Keitz S, Leipzig R, For GG. Tips for learners of evidence-based medicine: 3. Measures of observer variability (kappa statistic). CMAJ: Canadian Medical Association journal = journal de l'Association medicale canadienne. 2004;171(11):1369–73. Epub 2004/11/24. pmid:15557592
  45. 45. Brown H, Prescott R. Statistics in Practice. Applied Mixed Models in Medicine: John Wiley & Sons, Ltd; 2006. p. 456–7.
  46. 46. R Development Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria (http://wwwR-projectorg/). 2011.
  47. 47. Kesselheim AS, Lee JL, Avorn J, Servi A, Shrank WH, Choudhry NK. Conflict of interest in oncology publications: A survey of disclosure policies and statements. Cancer. 2011. Epub 2011/07/01.
  48. 48. Hernan MA. Impact factor: a call to reason. Epidemiology. 2009;20(3):317–8; discussion 9–20. Epub 2009/04/14. pmid:19363351
  49. 49. Ancker JS, Flanagin A. A comparison of conflict of interest policies at peer-reviewed journals in different scientific disciplines. Science and engineering ethics. 2007;13(2):147–57. Epub 2007/08/25. pmid:17717729
  50. 50. Altman DG. Endorsement of the CONSORT statement by high impact medical journals: survey of instructions for authors. BMJ. 2005;330(7499):1056–7. pmid:15879389
  51. 51. Kunath F, Grobe HR, Keck B, Rucker G, Wullich B, Antes G, et al. Do urology journals enforce trial registration? A cross-sectional study of published trials. BMJ Open. 2011;1(2):e000430. Print 2011. pmid:22146890
  52. 52. Kunath F, Grobe HR, Rucker G, Engehausen D, Antes G, Wullich B, et al. Do journals publishing in the field of urology endorse reporting guidelines? A survey of author instructions. Urol Int. 2012;88(1):54–9. Epub 2011 Nov 19. pmid:22104723
  53. 53. Chan A-W, Song F, Vickers A, Jefferson T, Dickersin K, Gøtzsche PC, et al. Increasing value and reducing waste: addressing inaccessible research. Lancet (London, England). 2014;383(9913):257–66.
  54. 54. Toulmonde M, Bellera C, Mathoulin-Pelissier S, Debled M, Bui B, Italiano A. Quality of randomized controlled trials reporting in the treatment of sarcomas. Journal of clinical oncology: official journal of the American Society of Clinical Oncology. 2011;29(9):1204–9. Epub 2011/02/16.
  55. 55. Hui D, Arthur J, Dalal S, Bruera E. Quality of the supportive and palliative oncology literature: a focused analysis on randomized controlled trials. Supportive care in cancer: official journal of the Multinational Association of Supportive Care in Cancer. 2011. Epub 2011/09/22.
  56. 56. Kunath F, Grobe HR, Keck B, Rucker G, Wullich B, Antes G, et al. Do urology journals enforce trial registration? A cross-sectional study of published trials. BMJ Open. 2011;1(2):e000430. Epub 2011/12/08. pmid:22146890
  57. 57. Altman DG, Moher D. Declaration of transparency for each research article. BMJ. 2013;347.
  58. 58. Blum JA, Freeman K, Dart RC, Cooper RJ. Requirements and definitions in conflict of interest policies of medical journals. Jama. 2009;302(20):2230–4. Epub 2009/11/26. pmid:19934424