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Changes in HbA1c Level over a 12-Week Follow-up in Patients with Type 2 Diabetes following a Medication Change

  • Jennifer A. Hirst ,

    Affiliation Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom and National Institute for Health Research School for Primary Care Research, Oxford, United Kingdom

  • Richard J. Stevens,

    Affiliation Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom and National Institute for Health Research School for Primary Care Research, Oxford, United Kingdom

  • Andrew J. Farmer

    Affiliation Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom and National Institute for Health Research School for Primary Care Research, Oxford, United Kingdom

Changes in HbA1c Level over a 12-Week Follow-up in Patients with Type 2 Diabetes following a Medication Change

  • Jennifer A. Hirst, 
  • Richard J. Stevens, 
  • Andrew J. Farmer



Current guidance about the interval needed before retesting HbA1c when monitoring for glycaemic control is based on expert opinion rather than well-powered studies. The aim of our work was to explore how fast HbA1c changes after a change in glucose-lowering medication. This has implications for whether routine HbA1c testing intervals before 12 weeks could inform diabetes medication adjustments.


This 12-week cohort study recruited patients from 18 general practices in the United Kingdom with non-insulin treated diabetes who were initiating or changing dose of oral glucose-lowering medication. HbA1c was measured at baseline and 2, 4, 8 and 12 weeks after recruitment. HbA1c levels at earlier time intervals were correlated with 12-week HbA1c. A ROC curve analysis was used to identify the 8-week threshold above which medication adjustment may be clinically appropriate.


Ninety-three patients were recruited to the study. Seventy-nine patients with no change in medication and full 12-week follow-up had the following baseline characteristics: mean±standard deviation age of 61.3±10.8 years, 34% were female and diabetes duration of 6.0±4.3 years. Mean HbA1c at baseline, 2, 4, 8 and 12 weeks was 8.7±1.5%, (72.0±16.8 mmol/mol) 8.6±1.6% (70.7±17.0 mmol/mol), 8.4±1.5% (68.7±15.9 mmol/mol), 8.2±1.4% (66.3±15.8 mmol/mol) and 8.1±1.4% (64.8±15.7 mmol/mol) respectively. At the end of the study 61% of patients had sub-optimal glycaemic control (HbA1c>7.5% or 59 mmol/mol). The 8-week change correlated significantly with the 12-week change in HbA1c and an HbA1c above 8.2% (66 mmol/mol) at 8 weeks correctly classified all 28 patients who had not achieved glycaemic control by 12 weeks.


This is the first study designed with sufficient power to examine short-term changes in HbA1c. The 12-week change in HbA1c can be predicted 8 weeks after a medication change. Many participants who had not achieved glycaemic control after 12 weeks may have benefitted from an earlier review of their HbA1c and medication.


Diabetes and its associated health complications are an increasing global health problem [1], [2]. Maintaining good glycaemic control is an essential part of routine diabetes care and a major contributor to minimising future complications [3]. The National Institute for Health and Clinical Excellence (NICE) in the United Kingdom (UK) currently recommend monitoring of glycated haemoglobin (HbA1c) every 2–6 months in people with type 2 diabetes [4]. Similarly the American Diabetes Association (ADA) guidelines [5] recommend performing the HbA1C test at least two times a year in patients who are meeting treatment goals (and who have stable glycemic control) and performing HbA1C tests quarterly in patients whose therapy has changed or who are not meeting glycemic goals [5].

Current clinical practice appears to be based on a belief that HbA1c tests cannot usefully be repeated within two or three months. [6] This is contingent upon the assumption that glucose binding with erythrocytes is irreversible [7]. However, some studies have demonstrated that it is likely that the glucose and haemoglobin interaction is actually a reversible process or that secondary reactions are taking place [8], [9]. Sacks and others in their 2011 guidelines [10] state that there is an absence of well-controlled studies to suggest a testing protocol and that there is “There is no consensus on the optimal frequency of Hb A1c testing”. Recommendations are therefore based on expert opinion and the only empirical evidence on short-term change in HbA1c comes from 2 small studies of 9 and 10 patients [11],[12]. Data from some studies has suggested that the rate at which HbA1c changes after a change in medication may be more rapid than previously thought, [13], [14] with clinically important changes in HbA1c, occurring within a period of 4–8 weeks [13], [15], [16].

Recent reports suggest that guidelines are not necessarily being followed; [14], [16], [17], [18], [19] for example in one UK trust 21% of all HbA1c tests were performed more frequently than guidelines recommend [17]. Over 80% of these requests came from primary care and over two thirds of the more frequent requests were for patients who had well-controlled diabetes. There is a need for an evidence base to inform clinical practice to avoid over use of tests without restricting circumstances where more frequent testing has a clinical benefit. We set out to explore the response of HbA1c to medication dose change before the conventional interval of twelve weeks and establish whether earlier measurement has potential for informing clinical management after a change in glucose lowering medication.


We carried out a prospective primary care based cohort study in general practices in the Thames Valley region of the UK between July 2012 and May 2013. Ethical approval was obtained from the South-East Committee of the National Research Ethics Service. The study was registered on the UK National Institutes for Health Research Clinical Research Network Portfolio Database. We recruited patients with a diagnosis of type 2 diabetes of at least 3 months duration who were not taking insulin and were initiating or changing their type or dose of oral glucose lowering medication to lower their HbA1c as deemed necessary by their General Practitioner (GP). We excluded patients who were pregnant or breastfeeding, had a life-threatening illness or were unable to give informed consent. The duration of the study was 12 weeks.

All participants gave written informed consent prior to participation in the study. Data was collected on patient demographics, smoking status, diabetes medication type and dose before entering the study. The planned change in glucose lowering medication (dose and type of medication) was also recorded. Anthropometry included measurement of height, weight and waist circumference. At the baseline visit all participants had a venous blood sample taken for measurement of HbA1c and were asked to start taking their new glucose lowering medication as per usual care. Further venous blood samples were taken for HbA1c measurement at two, four, eight and twelve weeks after the baseline visit and medication change. HbA1c was measured in the venous blood samples in six central hospital laboratories (Stoke Mandeville, Royal Berkshire, John Radcliffe, Wexham Park, Milton Keynes and High Wycombe) using high performance liquid chromatography on National Glycohemoglobin Standardisation Program certified instruments [20] and following UK national accredited external quality control programmes (NEQAS or WEQAS). At each visit, medication adherence was recorded using the 8-item Morisky scale [21], and categorised using previously described methods [22] as high for patients with no positive answers; moderate adherence for patients with (on average) up to 2 positive answers out of 8; and low adherence for patients with (on average) more than 2 positive answers out of 8. Weight and waist circumference were re-measured at the final study visit as well as any changes in smoking status.

Statistical Methods

The primary outcome measure was change in HbA1c from baseline 2, 4, 8 and 12 weeks after the medication change. Analysis was restricted to those with measurements at 0 weeks and 12 weeks and no intervening change in diabetes medication. Baseline characteristics of all eligible participants and the analysis population were reported.

We estimated that a sample size of 80 participants would allow us to measure a change in HbA1c of approximately 0.05% (assuming a SD of 0.1%) with 85% power. Statistical analyses were carried out in Stata 12 SE (StataCorp, Tx, USA). We calculated the mean change in HbA1c at 2, 4, 8 and 12 weeks relative to the baseline HbA1c value for each patient. We also reported change in weight and change in waist circumference during study participation. All results are reported as mean and standard deviation (SD).

Correlations of 2, 4 and 8 week change in HbA1c with 12 week change in HbA1c were calculated using Pearson’s correlation coefficients. Multiple linear regression was used to determine whether change in HbA1c at 2, 4 and 8 weeks could be used to predict HbA1c at 12 weeks. Each of the models was compared to a linear regression model of HbA1c at 12 weeks against HbA1c at 0 weeks. The p-value was calculated by the likelihood ratio method. These methods were repeated adjusting for differences in medication changes and medication adherence. We analysed these subgroups separately to examine differences in outcomes relative to medication adherence. Sensitivity analyses were carried out to exclude patients who did not have their 12-week HbA1c measurements within the protocol-specified time window (within 3 days either side of exactly 12-weeks from baseline visit).

In a post-hoc analysis we generated a receiver operator curve (ROC) of the sensitivity and specificity of 8 week HbA1c to predict glycaemic control at 12 weeks, defined as HbA1c of 7.5% (59 mmol/mol) or below. We used this to calculate the 8 week HbA1c threshold at which patients would remain uncontrolled at 12 weeks, and therefore might benefit from having their medication dose increased prior to the conventional 12-week interval.


A total of 93 eligible patients were recruited to the study from eighteen health centres. Of those recruited, two patients were withdrawn from the study: one patient died and one failed to take their medication. Of the remaining 91, 8 patients changed their type or dose of medication before end of follow-up and an additional 4 patients did not attend for a 12-week HbA1c measurement leaving 79 patients for analysis. A flow chart of study recruitment and loss to follow-up is shown in Figure 1. The 79-patient analysis population had the following baseline characteristics (shown in Table 1): mean (sd) age was 61.3 (10.8) years, 27 (34%) were female, diabetes duration of 6.0 (4.3) years and baseline HbA1c of 8.7±1.5% (72.0±16.8 mmol/mol). The index medication change was a dose increase of an existing drug in 39 of 79 patients, new drug in 39 patients, and new drug plus dose increase of existing drug in 1 patient. Baseline characteristics for all recruited patients and the excluded patients were similar (Table 1).

Mean±standard error (se) change in HbA1c, shown in Table 2 and Figure 2, was −0.11±0.04% (−1.2±0.4 mmol/mol) after 2 weeks, −0.25±0.05% (−2.8±0.6 mmol/mol after 4 weeks, −0.51±0.08% (−5.6±0.9 mmol/mol) after 8 weeks and −0.65±0.11% (−7.1±1.3 mmol/mol) after 12 weeks. Results were similar when two patients who had two simultaneous medication changes were excluded from the analysis. When thirteen patients who did not have their 12 week HbA1c measured within 3 days of 12-weeks from their baseline visit were excluded in a sensitivity analysis, results for the remaining 67 patients were similar (Table 2). These 67 patients had mean change (±se) in HbA1c at 2, 4, 8 and 12 weeks of −0.12±0.04% (−1.4±0.4 mmol/mol), −0.27±0.05% (−3.0±0.6 mmol/mol), −0.47±0.09% (−5.1±1.0 mmol/mol) and −0.56±0.11% (−6.1±1.2 mmol/mol) respectively. There was a small non-significant overall increase in mean (sd) weight (0.16±2.73 kg) and decrease in waist circumference (−0.75±5.0 cm) of participants during study participation. Histograms were plotted to show the distribution in the change in HbA1c at each measurement point (Figure 3); these show that there is an increase in the spread of the change in HbA1c at each measurement point and that some patients had an increase in their HbA1c after their baseline measurement and medication change.

Figure 2. Mean change in HbA1c in mmol/mol at 2, 4, 8 and 12 weeks after an increase in diabetes medications and 95% confidence intervals.

Figure 3. Histograms showing spread of change in HbA1c 2, 4, 8 and 12 weeks after a change in diabetes medication.

Table 2. Mean (sd) HbA1c and change in HbA1c in mmol/mol for all patients and excluding patients with measurements outside 3-day window.

By week 12, thirty-one of the 79 patient analysis population (39%) had achieved glycaemic control. Forty-eight patients who did not achieve control at 12 weeks had a much smaller overall mean change in their HbA1c (−0.3±0.7%, −3.6±7.8 mmol/mol) compared with those who did achieve control (−1.1±1.2%, −12.6±13.3 mmol/mol). Forty-nine patients (62%) had not yet achieved glycaemic control at 8 weeks; of these five did achieve control after 12 weeks though none had an HbA1c below 7.1% (54 mmol/mol).

Forty-two patients achieved a greater reduction in HbA1c at 12 weeks than at 8 weeks, but 37 had either the same or higher HbA1c levels at 12 weeks compared with their 8 week levels. Sixteen patients (20%) had higher HbA1c levels 12 weeks after their medication change than they had at baseline; fourteen of these patients had already exceeded their baseline HbA1c after 8 weeks.

Figure 4 shows graphs of changes in HbA1c at weeks 2, 4 and 8 plotted against change in HbA1c at 12 weeks. Each one of these showed a significant correlation between change at the earlier testing times and the 12-week change in HbA1c with corresponding correlation coefficients of 0.46 (95% CI 0.27 to 0.62), 0.58 (95% CI 0.41 to 0.72) and 0.91 (95% CI 0.87 to 0.95) respectively. Linear regression modelling showed a significant correlation between change in HbA1c at 2, 4 and 8 weeks with change in HbA1c at 12 weeks, with coefficients (SE) of 1.18 (0.35), 1.21 (0.20) and 1.16 (0.06) and R2 values of 0.13, 0.34 and 0.83 respectively. The change in HbA1c at each time interval was significantly predictive of the 12-week change in HbA1c (p = 0.001 at 2 weeks, p<0.0001 at 4 and 8 weeks). Among patients who had their 12-week HbA1c tested within 3 days either side of the date 12 weeks from baseline, the correlations of change in HbA1c at 2, 4 and 8 weeks with the 12-week change, with correlation coefficients were 0.52, 0.58 and 0.92 respectively, slightly higher than those for the full analysis population.

Figure 4. Correlation between 2 week, 4 week and 8 week HbA1c versus change in12 week HbA1c in mmol/mol.

Table S1 shows change in HbA1c stratified by high, moderate and low medication adherence. The 15 most adherent patients had a mean change in HbA1c after 12 weeks of −0.5±1.2% (−5.6±13.1 mmol/mol), 50 patients with moderate medication adherence had a mean change in HbA1c of −0.7±1.1% (−7.3±11.7 mmol/mol) and 14 patients who had the lowest reported medication adherence had a mean 12-week change in HbA1c of −0.7±0.6% (−8.0±6.5 mmol/mol). Correlation of the 8 week change with 12-week change was highest in the most adherent patients (R = 0.96).

Thirty-eight patients who received an increase in the dose of a single medication had a mean decrease in their HbA1c by 0.2±0.6% (2.2±6.6 mmol/mol) and 0.3±0.7% (2.7±7.4 mmol/mol) at 8 and 12 weeks respectively. Thirty-nine patients who initiated a new type of medication had a mean decrease in their HbA1c of 0.8±0.6% (8.4±6.8 mmol/mol) and 1.0±1.1% (10.7±11.6 mmol/mol) at 8 and 12 weeks respectively. A detailed breakdown of medication type and change in HbA1c is shown in Table S2.

The ROC curve analysis (Figure S1) showed that 8-week HbA1c correctly classified the majority of the 12 week HbA1c with an area under the curve of 0.954 (95% CI 0.912 to 0.996). For example eight-week HbA1c measurements of 8.2% (66.1 mmol/mol) or above had 100% sensitivity for predicting the people who were still be poorly controlled at 12 weeks; alternatively, of 42 patients who were above an HbA1c cut-off of 7.8% (62 mmol/mol) at 8 weeks, 39 (93%) remained uncontrolled at 12 weeks.


Key Findings

Our study has provided evidence that earlier and more frequent measurement of HbA1c after a change in medication has potential to inform adjustments of medication in patients with diabetes. In addition, this is the first study on this scale designed and powered specifically to explore the course of HbA1c change over the weeks following a change in medication dose and suggest a minimum testing interval based on evidence from patient data. In this cohort of patients we found that 79% of the change in HbA1c had occurred within the first 8 weeks of a medication change and that this result remained robust in sensitivity analyses. The results of our study show that the HbA1c level 8 weeks after a change in medication was strongly predictive of HbA1c 12 weeks after the change in diabetes medication and that patients with HbA1c greater than 8.2% (66 mmol/mol) at 8 weeks did not achieve glycaemic control at 12 weeks.

Compared to the Literature

Current guidance on the optimal testing frequency for HbA1c draws on extrapolation from physiological data and there is a lack of consensus on recommendations in guidelines with an absence of well-designed studies [10], [16]. A minimum repeat testing interval for HbA1c of 12 weeks is typically suggested [4], [5], [10], [23] citing consensus reports, expert opinion or two small studies (total sample size n = 19). These studies [11], [12] were designed to understand the kinetics of HbA1c change and predict new steady state HbA1c as opposed to suggesting optimal testing intervals. In our study we have prospectively collected, for the first time, patient data from which it would be possible to derive evidence to inform optimal repeat testing intervals in patients who have had a medication change. Our study uses a patient cohort, larger than previous studies and typical of patients in a primary care setting, and a design that allows us to determine the value of testing earlier than the oft-cited 12 weeks. We have shown that by 8 weeks after medication change it is possible to identify many patients who will remain uncontrolled at 12 weeks and for whom an earlier adjustment to their medication is likely to be beneficial. We have also been able to compare glycaemic control in patients with different levels of self-reported medication adherence and patients taking different medication types.


We only followed up patients for 12 weeks and our analysis has made the approximating assumption that a new steady state in HbA1c has been reached at this point. Our data supports this in that many of the patients had already achieved their maximum change by 8 weeks. Additional support comes from a previous study [12] which followed 9 patients for 16 weeks and found that 98% of the 16-week change in HbA1c had occurred within the first 12 weeks. We do, however recognise that some patients, particularly those who have not been adherent to their medication, or those taking some types of medication may continue to experience change in their HbA1c beyond 12 weeks from their medication change. Our results may therefore not generalise to patients taking such medications: specifically pioglitazone, which was taken by only two patients in our study. Pioglitazone has active metabolites which are thought to result in extended glucose-lowering effects [24] and therefore HbA1c may continue to change over a longer time compared to other glucose-lowering medications. Although we used a validated scale [21] to measure medication adherence, the data collected was self-reported and may not therefore accurately reflect the actual medication taken. The extent of missing data in our study is very small, and more than compensated for by the size of patient cohort which has enabled us to detect a 0.05% change in HbA1c with more than 80% power. Although this 6-centre study is potentially subject to inter-laboratory differences, this is minimized by the use of certified instruments and accredited external quality control schemes, and further mitigated by the use of change in HbA1c as the primary outcome.

Clinical Implications

In our cohort of 79 patients with uncontrolled diabetes we have demonstrated that the majority of the change in HbA1c has taken place within the first 8 weeks of a medication change. We have shown from our analysis that twenty-eight patients who had an HbA1c at 8 weeks of greater than 8.2% (66 mmol/mol) would have safely benefitted from an adjustment in their medication 8 weeks after their medication change. In addition our work has shown that people with uncontrolled diabetes could have their HbA1c re-tested after 8 weeks to identify those who are non-adherent or non-responders to their medication type. We recognise that any medication changes would need to be assessed in a case-by-case basis and need to be dependent on individual patients, their HbA1c level and combinations of medications which they are taking. A randomised trial to test an 8-week testing interval compared with usual care in people with uncontrolled diabetes is now needed.

Supporting Information

Figure S1.

ROC curve for predictive value of 8 week value of control at 12 weeks.


Table S1.

Mean (sd) change in HbA1c in mmol/mol by medication adherence.


Table S2.

Mean (sd) change in HbA1c in mmol/mol by medication adherence.



We would like to thank The Thames Valley Primary Care Research Network who assisted in identifying and recruiting GP practices to participate in the study, Janet Robertson for her expertise as a research nurse on the study steering committee, Jason Oke for assistance with planning statistical analysis and Stephen Selwood for data entry. We applied for a license to use the Morisky Medication Adherence Scale to assess patients’ medication adherence during this study.

Author Contributions

Conceived and designed the experiments: JH RS AF. Performed the experiments: JH AF RS. Analyzed the data: JH RS AF. Wrote the paper: JH. Wrote the statistical analysis plan: RS. Reviewed and edited the manuscript and contributed to the discussion: RS AF.


  1. 1. Danaei G, Finucane MM, Lu Y, Singh GM, Cowan MJ, et al. (2011) National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2.7 million participants. Lancet 378: 31–40.
  2. 2. Kanavos P, van den Aardweg S, W S (2012) Diabetes expenditure, burden of disease and management in 5 EU countries. LSE Health, London School of Economics.
  3. 3. Stratton IM, Adler AI, Neil HA, Matthews DR, Manley SE, et al. (2000) Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ 321: 405–412.
  4. 4. NICE (2008) Type 2 diabetes: National clinical guideline for management in primary and secondary care (update). NICE clinical guideline 66: Royal College of Physicians.
  5. 5. ADA (2013) Standards of medical care in diabetes-2013. Diabetes Care 36: S11–66.
  6. 6. Kilpatrick ES (2008) Haemoglobin A1c in the diagnosis and monitoring of diabetes mellitus. J Clin Pathol 61: 977–982.
  7. 7. Bunn HF, Haney DN, Kamin S, Gabbay KH, Gallop PM (1976) The biosynthesis of human hemoglobin A1c. Slow glycosylation of hemoglobin in vivo. J Clin Invest 57: 1652–1659.
  8. 8. Mortensen HB, Christophersen C (1983) Glucosylation of human haemoglobin a in red blood cells studied in vitro. Kinetics of the formation and dissociation of haemoglobin A1c. Clin Chim Acta 134: 317–326.
  9. 9. Osterman-Golkar SM, Vesper HW (2006) Assessment of the relationship between glucose and A1c using kinetic modeling. J Diabetes Complications 20: 285–294.
  10. 10. Sacks DB, Arnold M, Bakris GL, Bruns DE, Horvath AR, et al. (2011) Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus. Clin Chem 57: e1–e47.
  11. 11. Tahara Y, Shima K (1993) The response of GHb to stepwise plasma glucose change over time in diabetic patients. Diabetes Care 16: 1313–1314.
  12. 12. Tahara Y, Shima K (1995) Kinetics of HbA1c, glycated albumin, and fructosamine and analysis of their weight functions against preceding plasma glucose level. Diabetes Care 18: 440–447.
  13. 13. Kennedy L, Herman WH, Strange P, Harris A (2006) Impact of active versus usual algorithmic titration of basal insulin and point-of-care versus laboratory measurement of HbA1c on glycemic control in patients with type 2 diabetes: the Glycemic Optimization with Algorithms and Labs at Point of Care (GOAL A1C) trial. Diabetes Care 29: 1–8.
  14. 14. Salvagno GL, Lippi G, Targher G, Montagnana M, Guidi GC (2007) Monitoring glycaemic control: is there evidence for appropriate use of routine measurement of glycated haemoglobin? Clin Chem Lab Med 45: 1065–1067.
  15. 15. Bosi E, Dotta F, Jia Y, Goodman M (2009) Vildagliptin plus metformin combination therapy provides superior glycaemic control to individual monotherapy in treatment-naive patients with type 2 diabetes mellitus. Diabetes Obes Metab 11: 506–515.
  16. 16. Loh TP, Tan KM, Saw S, Sethi SK (2011) Glycated haemoglobin: what is the diagnostic yield at shortened testing intervals? Diabetes Res Clin Pract 94: e40–42.
  17. 17. Driskell OJ, Holland D, Hanna FW, Jones PW, Pemberton RJ, et al. (2012) Inappropriate requesting of glycated hemoglobin (Hb A1c) is widespread: assessment of prevalence, impact of national guidance, and practice-to-practice variability. Clin Chem 58: 906–915.
  18. 18. Lyon AW, Higgins T, Wesenberg JC, Tran DV, Cembrowski GS (2009) Variation in the frequency of hemoglobin A1c (HbA1c) testing: population studies used to assess compliance with clinical practice guidelines and use of HbA1c to screen for diabetes. J Diabetes Sci Technol 3: 411–417.
  19. 19. Akan P, Cimrin D, Ormen M, Kume T, Ozkaya A, et al. (2007) The inappropriate use of HbA1c testing to monitor glycemia: is there evidence in laboratory data? J Eval Clin Pract 13: 21–24.
  20. 20. NGSP (2014) List of NGSP Certified Methods.
  21. 21. Morisky DE, Ang A, Krousel-Wood M, Ward HJ (2008) Predictive Validity of a Medication Adherence Measure in an Outpatient Setting. The Journal of Clinical Hypertension 10: 348–354.
  22. 22. Muntner P, Levitan EB, Joyce C, Holt E, Mann D, et al. (2013) Association Between Antihypertensive Medication Adherence and Visit-to-Visit Variability of Blood Pressure. The Journal of Clinical Hypertension 15: 112–117.
  23. 23. Berard L (2013) Canadian Diabetes Association Clinical Practice Guidelines Expert Committee (2013) Monitoring Glycemic Control. Canadian Journal of Diabetes 37: S35–S39.
  24. 24. Tanis SP, Parker TT, Colca JR, Fisher RM, Kletzein RF (1996) Synthesis and biological activity of metabolites of the antidiabetic, antihyperglycemic agent pioglitazone. J Med Chem 39: 5053–5063.