Figures
Abstract
Background
Newborn screening for biliary atresia (BA) may facilitate earlier diagnosis and intervention for improved clinical outcomes.
Methods
We systematically reviewed the accuracy of population-based screening strategies for BA in the newborn using PRISMA-DTA guidelines. We included cohort or cross-sectional studies. The screening (index) tests included stool color card (SCC) and direct/conjugated bilirubin (DB/CB) and the reference standard was intraoperative cholangiogram. Meta-analysis was performed using random-effects logistic regression models.
Results
We included 15 studies (1,816,722 participants) that assessed 5 different population-based screening strategies. QUADAS-2 assessment revealed high risk of bias for patient selection in one study and uncertain risks for reference standard in multiple studies. High certainty evidence suggests that DB/CB assessed after birth had a summary sensitivity of 100% (95% CI 100,100) and specificity of 98.8% (98.8,98.9) (5 studies, 662141 participants). Moderate certainty evidence suggests that SCC screening at a month of age had summary sensitivity of 79.6% (95% CI 70.6, 86.4) and specificity of 99.9% (95% CI 99.9, 99.9) (7 studies, 996262 participants).
Citation: Gopal SH, Zebda R, Mohan A, Borovsky K, Takwoingi Y, Scandrett K, et al. (2024) Population-based screening strategies for biliary atresia in the newborn: A systematic review and meta-analysis. PLoS ONE 19(8): e0307837. https://doi.org/10.1371/journal.pone.0307837
Editor: Consolato M. Sergi, Children’s Hospital of Eastern Ontario (CHEO), University of Ontario, CANADA
Received: February 24, 2024; Accepted: July 11, 2024; Published: August 28, 2024
Copyright: © 2024 Gopal et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its files.
Funding: Dr. Mohan Pammi was funded by the following extramural sources: NIH R03HD098482, R21HD091718. Role of Funder/Sponsor (if any): The funding agency (NIH) was not involved in any way in this manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Biliary atresia (BA) is the leading indication for pediatric liver transplant, affecting between 1 in 8,000 and 1 in 18,000 infants [1]. BA leads to fibrosis of the bile ducts, resulting in cholestasis, and can progress to complications such as portal hypertension, growth failure, cirrhosis and ultimately death due to end-stage liver disease [1]. Variability exists in the incidence of this disorder based on geographical region and ethnicity, with higher incidence in the Asia and Pacific regions [2, 3]. The incidence varies from one to five per 10,000 live births in Taiwan and Japan, [2–6] to one per 15–20,000 live births in UK, Ireland, France and Canada [2, 3, 7–9] and approximately between 6.5 to 7.5 per 100,000 live births in the US. The rapid course of biliary atresia can be slowed with the Kasai portoenterostomy (KPE), a surgical intervention performed to establish bile flow by removing atretic bile ducts and creating a liver-intestine anastomosis using a Roux-en-Y loop anastomosis [1, 10].
The timing of diagnosis and the KPE procedure impacts the prognosis of patients with biliary BA. In a study by Serinet et al, it was reported that KPE performed in the first 46 days of life was associated with 65.5% survival rates with native liver at two years of age [11]. Recent studies have also found that treatment by 30 days of life delayed or prevented the need for a liver transplant [8, 12]. However, BA is known to have a latent preclinical phase, which may impact the timing of diagnosis and subsequently delay management and worsen outcomes. In the US, the average age at referral was 53 days and average age at KPE was 61 days [13].
The demand for the implementation of newborn screening strategies for the early diagnosis and management of BA has grown [9, 14, 15]. Several population-based screening strategies have been implemented for early detection and management of this disease. Screening strategies include stool color card (SCC), serum direct or conjugated bilirubin (DB/CB) measurements, urine sulfated bile acids (USBA), serum bile acids and serum free carnitine. Current evidence regarding the accuracy of population-based screening strategies for BA has not been adequately summarized.
Methods
Our protocol was registered with PROSPERO (registration number CRD42022346461)
(Available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022346461)
Search strategy
We searched the following electronic databases in July 1, 2022, and updated in Feb 2023 (S1 File):
- MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL) through EBSCOhost, Embase, and the Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library.
- Abstracts of conferences: Pediatric Academic Societies (American Pediatric Society, Society for Pediatric Research, and European Society for Pediatric Research) from 1990 in the journal Pediatric Research, and at https://www.pas-meeting.org/past-abstracts/online from the year 2017 to 2022.
- Ongoing trials at the following web sites: www.ClinicalTrials.gov, www.controlled-trials.com and https://www.who.int/clinical-trials-registry-platform.
- PubMed’s related citations feature was used to identify relevant articles. Additional searches were made from articles cited by the included studies and by contacting experts in the field.
Inclusion criteria
Types of studies.
We included prospective or retrospective, cohort or cross-sectional studies that evaluated population-based screening for diagnosis of BA in the newborn. We excluded studies that assessed the diagnostic accuracy of the test using only positive samples or healthy controls (case-control study design), and studies not in the clinical context of population screening for BA.
Data collection and analyses
Selection of studies
Two researchers (MP and AM) independently screened the titles and abstracts and selected articles for full text review. MP and AM retrieved the selected full texts, and independently evaluated them for eligibility, as detailed in our inclusion and exclusion criteria. The articles were further independently reviewed by three researchers (SHG, RZ and KB) for eligibility for the index test, reference standard, patient population and the review question. We resolved any disagreements through discussion and consensus.
Data extraction and management
Three researchers (SHG, RZ and KB) independently extracted data from each of the included studies (S2 File). The extracted data included author, year of publication, study design, inclusion criteria, exclusion criteria, reference standard and performance of the test, index test and performance of the test, blinding information, information about Quality Assessment of Diagnostic-Accuracy Studies (QUADAS-2) [16] and 2x2 table data (number of true positives, false positives, false negatives, true negatives). Sensitivities and specificities were calculated from the 2x2 tables. For the studies that only reported sensitivity and specificity, a reverse calculation was done to obtain the 2x2 table. We also sought additional information about the study design or data, if needed, from the authors of the included studies via email. Any disagreements were resolved by the senior author (MP).
Assessment of methodological quality
The methodological quality of each study was assessed using the QUADAS-2 tool (as recommended by Cochrane; https://methods.cochrane.org/sdt/) by review authors SHG, RZ and KB [16]. The QUADAS-2 tool was tailored to the review question by modifying specific signaling questions. We assessed four domains for risk of bias: patient selection, index test, reference test, and flow and timing. We assessed applicability concerns in the first three domains (patient selection, index test, and reference test). For each domain, we answered questions with a Yes/No/Unclear answer, and assessed risk of bias as Low/High/Unclear (S3 File). Quality assessment regarding eligibility of the studies was performed by two independent authors (SHG and RZ).
Assessment of the certainty of the evidence
We assessed certainty of evidence used the GRADE approach, as outlined in the GRADE Handbook [17–19]. Two review authors independently assessed the certainty of evidence for SCC and DB/CB population-based newborn screening strategies. We used the GRADEpro Guideline Development Tool to create ‘Summary of findings’ (SoF) tables to report the certainty of the evidence (GRADEpro Guideline Development Tool [Software]. McMaster University and Evidence Prime, 2022. Available from gradepro.org).
Statistical analysis and data synthesis
The extracted data was entered into Review Manager (RevMan Version 5.4, The Cochrane Collaboration, 2020). A descriptive analysis of the included studies was performed by generating forest plots to visually display individual estimates of sensitivity and specificity. Previous literature suggests that the specificity of screening tests for BA is high [20–34]. Thus, the correlation between sensitivity and specificity across studies is unlikely to be high [35, 36]. Therefore, random-effects logistic regression models were fitted separately for sensitivity and specificity using the ‘meqrlogit’ command in Stata 17.0. If the random-effects logistic regression analyses failed to converge, estimates and confidence intervals were computed by summing the counts of true positive, false positive, false negative and true negative across the 2x2 tables. The 95% confidence intervals was calculated using the Wald method [37].
Results
Search results and study selection
We identified 8,926 records through database searches. The inclusion process is detailed in the PRISMA flow diagram (Fig 1). We included 15 studies 20–34 of which 7 studies assessed SCC, 5 assessed screening with DB/CB, 1 each assessed USBA, serum bile acids and free carnitine (Table 1). The included studies were primarily conducted in Asia (4 from Japan, 3 from China, and 2 from Taiwan) where the reported incidence of BA is known to be higher than in Western nations.4–6 Outside Asia, studies were performed in the USA (4 studies), Canada (2 studies) and the UK (1 study). Excluded studies and reasons for exclusion are described in S4 File.
Flow diagram describing the study selection process, included and excluded studies for this systematic review and meta-analysis.
Methodological quality of included studies
Quality assessment using the QUADAS-2 tool revealed deficiencies in the following domains (Fig 2A and 2B and S3 File):
- Patient selection. Most included studies were conducted either retrospectively or prospectively at a population level, ideal for assessing accuracy of a screening test. However, one paper, [21] retrospectively identified patients with BA, introducing a high risk of bias via patient selection. Inclusion and exclusion criteria varied between studies, though many excluded infants that were not discharged from a newborn nursery (i.e., those born prematurely and/or with another serious medical condition), a potential source of patient selection bias.
- Index test. Most studies had a predefined threshold for positive screen for BA. Studies that used the SCC, had predefined criteria for a positive test and studies that assessed DB/CB had predefined cut-off thresholds for a positive screen.
- Reference standard. All studies that reported a reference standard utilized an intraoperative cholangiogram for final diagnosis of BA. However, not all studies explicitly stated how BA diagnosis was confirmed.
- Flow and timing. There were significant variability in timing between when screening tests were conducted, ranging from at birth in the DB/CB studies to within the first few months of life with SCC screening. A majority of the studies did not report the time interval between when a screening test (index test) was conducted and when confirmation of BA was diagnosed with an intraoperative cholangiogram (reference standard).
2A risk of bias and applicability concerns summary: review authors’ judgements about each domain for the included study and 2B risk of bias and applicability concerns graph: review authors’ judgements about each domain presented as percentages across included studies.
Meta-analysis for summary estimates of sensitivity and specificities
SCC screening had sensitivity ranging from 50% to 100% and specificity of 100% in the 7 included studies. DB/CB had a sensitivity of 1.00 for detecting BA in all 5 included studies and specificity ranged from 99% to 100%. Fig 3 shows the forest plot displaying individual estimates of sensitivity and specificity from each included study.
Sensitivity and specificity for the individual included studies for the five biliary atresia screening are shown in separate left and right panels. Forest plots allow for visual assessment of variability in sensitivity and specificity among studies.
Estimated summary sensitivity by meta-analysis (S1 Table) for studies evaluating DB/CB was 100% (95% CI 100, 100) and specificity was 98.8% (95% CI, 98.8, 98.9). Estimated summary sensitivity for studies evaluating SCC was 79.6% (95% CI, 70.6,86.4) and specificity was 99.9% (95% CI, 99.9, 99.9). The following screening tests were only assessed by one study each and reported the following sensitivities and specificities: USBA in one included study [32], had a sensitivity of 100% (95% CI, 0.03–1.0) and a specificity of 96% (95%CI, 0.95–0.97); serum bile acids had a sensitivity of 64% (95% CI, 0.31–0.89) and a specificity of 99% (95% CI, 0.99–0.99) (1 study30); free carnitine had a sensitivity of 86% (0.42–1.00) and a specificity of 85% (0.85–0.85) (1 study [21]).
Assessment for certainty of evidence
GRADE scale [17–19] showed high certainty of evidence for DB/CB screening and a moderate certainty of evidence for SCC screening (downgraded for inconsistency) for BA in newborn (S5 File). USBA, serum bile acids and free carnitine screening strategies were graded as very low certainty evidence, downgraded due to suspected publication bias, indirectness and imprecision.
Discussion
We reviewed and summarized the diagnostic accuracy of different population-based screening strategies for the diagnosis of BA in the newborn using Cochrane methodology. Fifteen studies assessed 5 different population-based screening strategies in 15 studies (1,816,722) participants were included. Risk of bias was assessed using the QUADAS-2 assessment tool and most included studies scored low or unclear for risk of bias and applicability concerns with the exception of high risk of bias for patient selection in one study,21 which identified patients with BA retrospectively introducing a high risk of bias via patient selection. Some studies did not explicitly state the reference standard used although implied and hence scored as uncertain risks for reference standard [21, 23, 24, 31, 33]. Using GRADE criteria, the certainty of evidence was high for screening with DB/CB and moderate for SCC (downgraded certainty for imprecision and inconsistency) and very low certainty for USBA, serum bile acids and free carnitine measurements.
DB/CB screening has high sensitivity and specificity for detecting BA, when incorporated in newborn screening after birth and is also easily implemented, either at the birthing institution or a pediatrician’s office. SCC screening was noted to have high specificity but moderate sensitivity. Both DB/CB and SCC are minimally invasive with SCC screening being completely painless, and DB/CB requiring one to two heel sticks, which are typically already performed for a newborn screen and/or 24 hour of life bilirubin testing. USBA, serum bile acids, and free carnitine tests were assessed in only one population-based study each (which were assessed as very low certainty) but these tests are not routinely performed in pediatric offices or hospitals, which would make them challenging and likely expensive to implement across a wide population.
In the included studies of the review, variability existed in the timing of screening tests among screening strategies. DB/CB, serum bile acids, and free carnitine are all screening methods performed at or near time of birth. In comparison, USBA were collected within the first 10–40 days of life and SCC screening was performed over the first few weeks of life. The studies that utilized SCC screening primarily used the Taiwan National Stool Color Card, which includes 7 images of stool (images 1–3 represent abnormal stool color and 4–7 represent normal stool color) [20, 23, 29]. Other included studies assessing SCC screening utilized an International Stool Color Card [27, 33, 34] All but one of the included studies that assessed the DB/CB method of screening were similar in their threshold for test positivity (CB >0.2 mg/dL and DB >0.5 mg/DL or 97.5% for the lab) [24–26, 28]. Powell et al used a higher threshold of CB >18 mmol/L and fraction (100x CB/[CB+UB]) >20% [31].
Due to differences in the timing of the DB/CB (around the time of birth) and SCC (screening within the first few weeks of life, likely at the monthly pediatrician visit) tests, a two-stage screening strategy may be feasible. Infants could have DB/CB checked at birth and, if elevated, are further worked up for BA with a pediatric gastroenterologist. However, if the family is lost to follow-up or the initial bilirubin is normal, pediatricians can then do an in-office SCC screen at the two-four week visit to screen for acholic stools, providing another step in the screening process in which a child with BA could still be diagnosed early in the disease process. Detecting BA earlier with high diagnostic accuracy (high sensitivity and specificity) will result in earlier and more functioning KPEs, fewer liver transplants at a young age, and improved clinical outcomes overall.
Multiple studies that assessed screening strategies for BA were excluded from our analysis since they were not performed at a population level (S4 File). It is crucial that potential screening tools are assessed at the population level, and not among a smaller cohort of non-representative individuals (e.g. cholestatic infants) since this may lead to spectrum bias, which describes the differing performance of a diagnostic test among different populations. Results from a study where a screening test for BA was performed on known cholestatic infants or retrospectively identified infants with BA would also mean that the results are not generalizable to all infants, which is the population a national screening test would be implemented on.
Clinical applicability
In a hypothetical cohort of 100,000 newborn infants where DB/CB is used for BA screening (approximate pre-test probability is 0.0067%, 1 in 15,000 infants, derived from published studies), applying the summary sensitivity of 1.00 and summary specificity of 0.98 from this review, no patients with the disease will be missed by DB/CB. There will be 2000 false positives or patients diagnosed with BA. If SCC is used for BA screening in the same hypothetical cohort of 100,000 newborn infants, (pre-test probability is 0.0067%, 1 in 15,000 infants), applying the summary sensitivity of 0.79 and summary specificity of 0.99 from this review, one patient with the disease will be missed by SCC and there will be 1000 false positives or patients diagnosed with BA. Since these are screening tests (not diagnostic tests) for a relatively rare disease but with severe consequences, not missing a case of BA takes priority and the false positives are further investigated by the pediatric gastroenterologist or other healthcare provider.
Strengths and limitations of the review
This is a methodologically robust systematic review and screening test accuracy meta-analysis to summarize the diagnostic accuracy of different screening methods for biliary atresia at the population level. Our protocol was pre-registered with PROSPERO. Our review includes a recent large population-based study published in early 2023 [28] and was performed according to standard recommendations of the Cochrane DTA methodology group (https://methods.cochrane.org/sdt/). Inclusion in our review was limited to true population-based studies and the QUADAS-2 tool was appropriately utilized for methodological assessment of screening tests [16]. We assessed the certainty of evidence using the GRADE approach to inform clinical practice and research.
We recognize that heterogeneity exists in the included studies due to the timing of screening and differences in the populations screened. Heterogeneity is a well-recognized problem in systematic reviews of screening and/or diagnostic tests [38]. Two of the included studies required infants to be in a newborn nursery for study inclusion, which excluded infants admitted to the NICU [32, 34]. Prematurity may be associated with the occurrence of BA, exclusion of preterm infants in the NICU may have introduced bias and affect applicability [39].
Conclusions
Implications for practice
High certainty evidence suggests that DB/CB screening performed in the first few days of life has high diagnostic accuracy for BA in the newborn. Moderate certainty evidence suggests that SCC has high specificity but only moderate sensitivity when performed in the first few weeks of life.
Implications for research
Further research is warranted to investigate the cost-effectiveness of implementing these screening strategies, alone or in combination. It is also of interest to investigate how early diagnosis due to the suggested screening strategies impacts timing of KPE and the need for liver transplant.
Supporting information
S1 File. Search strategies for biliary atresia and neonatal screening: Detailed description of search strategy employed for the systematic review.
https://doi.org/10.1371/journal.pone.0307837.s002
(DOCX)
S2 File. Data extraction.
Description of various items extracted from the included studies for the systematic review.
https://doi.org/10.1371/journal.pone.0307837.s003
(DOCX)
S3 File. QUADAS-2 assessment of included studies.
Detailed description of each study on QUADAS-2 assessment.
https://doi.org/10.1371/journal.pone.0307837.s004
(DOCX)
S4 File. Table of excluded studies.
Details on studies that were excluded from the metanalysis and reasons for exclusion.
https://doi.org/10.1371/journal.pone.0307837.s005
(DOCX)
S5 File. GRADE certainty of evidence for included studies.
Tables showing GRADE certainty of evidence for both direct/conjugated bilirubin and Stool Color Card test for screening of biliary atresia.
https://doi.org/10.1371/journal.pone.0307837.s006
(DOCX)
S1 Table. Summary sensitivity and specificities of screening strategies for biliary atresia using stool color card (SCC) test and direct/conjugated bilirubin (DB/CB).
https://doi.org/10.1371/journal.pone.0307837.s007
(DOCX)
References
- 1. Bezerra JA, Wells RG, Mack CL, et al. Biliary Atresia: Clinical and Research Challenges for the Twenty-First Century. Hepatology. 2018;68(3):1163–1173. pmid:29604222
- 2. Vij M, Rela M. Biliary atresia: pathology, etiology and pathogenesis. Future Sci OA. 2020;6(5):FSO466. Published 2020 Mar 17. pmid:32518681
- 3. Lakshminarayanan B, Davenport M. Biliary atresia: A comprehensive review. J Autoimmun. 2016;73:1–9. pmid:27346637
- 4. Chiu CY, Chen PH, Chan CF, Chang MH, Wu TC; Taiwan Infant Stool Color Card Study Group. Biliary atresia in preterm infants in Taiwan: a nationwide survey. J Pediatr. 2013;163(1):100–3.e1. pmid:23414661
- 5. Wada H, Muraji T, Yokoi A, et al. Insignificant seasonal and geographical variation in incidence of biliary atresia in Japan: a regional survey of over 20 years. J Pediatr Surg. 2007;42(12):2090–2092. pmid:18082714
- 6. Tiao MM, Tsai SS, Kuo HW, Chen CL, Yang CY. Epidemiological features of biliary atresia in Taiwan, a national study 1996–2003. J Gastroenterol Hepatol. 2008;23(1):62–66. pmid:17725591
- 7. Chardot C, Buet C, Serinet MO, et al. Improving outcomes of biliary atresia: French national series 1986–2009. J Hepatol. 2013;58(6):1209–1217. pmid:23402746
- 8. Schreiber RA, Barker CC, Roberts EA, et al. Biliary atresia: the Canadian experience. J Pediatr. 2007;151(6):659–665.e1. pmid:18035148
- 9. Hopkins PC, Yazigi N, Nylund CM. Incidence of Biliary Atresia and Timing of Hepatoportoenterostomy in the United States. J Pediatr. 2017;187:253–257. pmid:28746031
- 10. Sokol RJ, Shepherd RW, Superina R, Bezerra JA, Robuck P, Hoofnagle JH. Screening and outcomes in biliary atresia: summary of a National Institutes of Health workshop. Hepatology. 2007;46(2):566–581. pmid:17661405
- 11. Serinet MO, Wildhaber BE, Broué P, et al. Impact of age at Kasai operation on its results in late childhood and adolescence: a rational basis for biliary atresia screening. Pediatrics. 2009;123(5):1280–1286. pmid:19403492
- 12. Fanna M, Masson G, Capito C, et al. Management of Biliary Atresia in France 1986 to 2015: Long-term Results. J Pediatr Gastroenterol Nutr. 2019;69(4):416–424. pmid:31335841
- 13. Shneider BL, Brown MB, Haber B, et al. A multicenter study of the outcome of biliary atresia in the United States, 1997 to 2000. J Pediatr. 2006;148(4):467–474. pmid:16647406
- 14. Wang KS; Section on Surgery; Committee on Fetus and Newborn; Childhood Liver Disease Research Network. Newborn Screening for Biliary Atresia. Pediatrics. 2015;136(6):e1663–e1669.
- 15. Sokol RJ. Biliary atresia screening: why, when, and how?. Pediatrics. 2009;123(5):e951–e952. pmid:19403487
- 16. Whiting PF, Rutjes AW, Westwood ME, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011;155(8):529–536. pmid:22007046
- 17. Schünemann HJ, Mustafa RA, Brozek J, et al. GRADE guidelines: 21 part 1. Study design, risk of bias, and indirectness in rating the certainty across a body of evidence for test accuracy. J Clin Epidemiol. 2020;122:129–141. pmid:32060007
- 18. Gopalakrishna G, Mustafa RA, Davenport C, et al. Applying Grading of Recommendations Assessment, Development and Evaluation (GRADE) to diagnostic tests was challenging but doable. J Clin Epidemiol. 2014;67(7):760–768. pmid:24725643
- 19. Schünemann HJ, Mustafa RA, Brozek J, et al. GRADE guidelines: 21 part 2. Test accuracy: inconsistency, imprecision, publication bias, and other domains for rating the certainty of evidence and presenting it in evidence profiles and summary of findings tables. J Clin Epidemiol. 2020;122:142–152. pmid:32058069
- 20. Chen SM, Chang MH, Du JC, et al. Screening for biliary atresia by infant stool color card in Taiwan. Pediatrics. 2006;117(4):1147–1154. pmid:16585309
- 21. Gong Z, Wu Y, Zheng L, Chen L, Lv Z. Can Free Carnitine or Bilirubin in Blood Be Used in Neonatal Screening for Biliary Atresia?. Eur J Pediatr Surg. 2020;30(5):459–464. pmid:31600802
- 22. Gu YH, Yokoyama K, Mizuta K, et al. Stool color card screening for early detection of biliary atresia and long-term native liver survival: a 19-year cohort study in Japan. J Pediatr. 2015;166(4):897–902.e1. pmid:25681196
- 23. Gu YH, Zhao JQ, Kong YY, et al. Repeatability and Reliability of Home-Based Stool Color Card Screening for Biliary Atresia Based on Results in China and Japan. Tohoku J Exp Med. 2020;252(4):365–372. pmid:33342972
- 24. Guthery SL, Deneau M, Christensen R, et al. Oral Abstracts (Abstracts 1–288): Fractionated bilirubin in >250,000 Utah newborns confirms conjugated or direct bilirubin is elevated in the newborn period in biliary atresia: implications for newborn screening. Hepatology. 2019;70(S1):1–187.
- 25. Harpavat S, Garcia-Prats JA, Shneider BL. Newborn Bilirubin Screening for Biliary Atresia. N Engl J Med. 2016;375(6):605–606. pmid:27509119
- 26. Harpavat S, Garcia-Prats JA, Anaya C, et al. Diagnostic Yield of Newborn Screening for Biliary Atresia Using Direct or Conjugated Bilirubin Measurements. JAMA. 2020;323(12):1141–1150. pmid:32207797
- 27. Hsiao CH, Chang MH, Chen HL, et al. Universal screening for biliary atresia using an infant stool color card in Taiwan. Hepatology. 2008;47(4):1233–1240. pmid:18306391
- 28. Kastenberg ZJ, Deneau MR, O’Brien EA, et al. Fractionated Bilirubin Among 252,892 Utah Newborns With and Without Biliary Atresia: A 15-year Historical Birth Cohort Study [published online ahead of print, 2023 Jan 30]. J Pediatr. 2023;S0022-3476(23)00050-1. pmid:36731714
- 29. Kong YY, Zhao JQ, Wang J, et al. Modified stool color card with digital images was efficient and feasible for early detection of biliary atresia-a pilot study in Beijing, China. World J Pediatr. 2016;12(4):415–420. pmid:27807737
- 30. Matsui A, Sasakia N, Arakawa Y, Ishikawa T, Momoya T, Kasano Y, et al. Neonatal mass screening for biliary atresia: a pilot study in Tochigi prefecture, Japan. Screening. 1993 Oct 1;2(4):201–9.
- 31. Powell JE, Keffler S, Kelly DA, Green A. Population screening for neonatal liver disease: potential for a community-based programme. J Med Screen. 2003;10(3):112–116. pmid:14561261
- 32. Suzuki M, Muraji T, Obatake M, et al. Urinary sulfated bile acid analysis for the early detection of biliary atresia in infants. Pediatr Int. 2011;53(4):497–500. pmid:21040191
- 33. Schreiber RA, Masucci L, Kaczorowski J, et al. Home-based screening for biliary atresia using infant stool colour cards: a large-scale prospective cohort study and cost-effectiveness analysis. J Med Screen. 2014;21(3):126–132. pmid:25009198
- 34. Woolfson JP, Schreiber RA, Butler AE, et al. Province-wide Biliary Atresia Home Screening Program in British Columbia: Evaluation of First 2 Years. J Pediatr Gastroenterol Nutr. 2018;66(6):845–849. pmid:29570556
- 35.
Macaskill P, Takwoingi Y, Deeks JJ, Gatsonis C. Chapter 9: Understanding meta-analysis. Draft version (4 October 2022) for inclusion in: Deeks JJ, Bossuyt PM, Leeflang MM, Takwoingi Y, editor(s). Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy Version 2. London: Cochrane.
- 36. Takwoingi Y, Guo B, Riley RD, Deeks JJ. Performance of methods for meta-analysis of diagnostic test accuracy with few studies or sparse data. Stat Methods Med Res. 2017 Aug 1;26(4):1896–911. pmid:26116616
- 37.
Sauro J, Lewis JR. Estimating completion rates from small samples using binomial confidence intervals: comparisons and recommendations. InProceedings of the human factors and ergonomics society annual meeting 2005 Sep (Vol. 49, No. 24, pp. 2100–2103). Sage CA: Los Angeles, CA: SAGE Publications.24.
- 38. Reitsma JB, Rutjes AW, Whiting P, Vlassov VV, Leeflang MM, Deeks JJ. Assessing methodological quality. Cochrane handbook for systematic reviews of diagnostic test accuracy version. 2009 Oct 27;1(0):1–28.
- 39. Cavallo L, Kovar EM, Aqul A, et al. The Epidemiology of Biliary Atresia: Exploring the Role of Developmental Factors on Birth Prevalence. J Pediatr. 2022;246:89–94.e2. pmid:35364097