Literature DB >> 35764326

Dipeptidyl peptidase-4 inhibitors and gallbladder or biliary disease in type 2 diabetes: systematic review and pairwise and network meta-analysis of randomised controlled trials.

Liyun He1, Jialu Wang1, Fan Ping1, Na Yang1, Jingyue Huang1, Wei Li1, Lingling Xu1, Huabing Zhang1, Yuxiu Li1.   

Abstract

OBJECTIVE: To examine the association between dipeptidyl peptidase-4 inhibitors and gallbladder or biliary diseases.
DESIGN: Systematic review and pairwise and network meta-analysis. DATA SOURCES: PubMed, EMBASE, Web of Science, and CENTRAL from inception until 31 July 2021. ELIGIBILITY CRITERIA: Randomised controlled trials of adult patients with type 2 diabetes who received dipeptidyl peptidase-4 inhibitors, glucagon-like peptide-1 receptor agonists, and sodium-glucose cotransporter-2 inhibitors compared with placebo or other antidiabetes drugs. MAIN OUTCOME MEASURES: Composite of gallbladder or biliary diseases, cholecystitis, cholelithiasis, and biliary diseases. DATA EXTRACTION AND DATA SYNTHESIS: Two reviewers independently extracted the data and assessed the quality of the studies. The quality of the evidence for each outcome was assessed using the Grading of Recommendations, Assessment, Development and Evaluations framework (GRADE) approach. The meta-analysis used pooled odds ratios and 95% confidence intervals.
RESULTS: A total of 82 randomised controlled trials with 104 833 participants were included in the pairwise meta-analysis. Compared with placebo or non-incretin drugs, dipeptidyl peptidase-4 inhibitors were significantly associated with an increased risk of the composite of gallbladder or biliary diseases (odds ratio 1.22 (95%confidence interval 1.04 to 1.43); risk difference 11 (2 to 21) more events per 10 000 person years) and cholecystitis (odds ratio 1.43 (1.14 to 1.79); risk difference 15 (5 to 27) more events per 10 000 person years) but not with the risk of cholelithiasis and biliary diseases. The associations tended to be observed in patients with a longer duration of dipeptidyl peptidase-4 inhibitor treatment. In the network meta-analysis of 184 trials, dipeptidyl peptidase-4 inhibitors increased the risk of the composite of gallbladder or biliary diseases and cholecystitis compared with sodium-glucose cotransporter-2 inhibitors but not compared with glucagon-like peptide-1 receptor agonists.
CONCLUSIONS: Dipeptidyl peptidase-4 inhibitors increased the risk of cholecystitis in randomised controlled trials, especially with a longer treatment duration, which requires more attention from physicians in clinical practice. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42021271647. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

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Year:  2022        PMID: 35764326      PMCID: PMC9237836          DOI: 10.1136/bmj-2021-068882

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


Introduction

Dipeptidyl peptidase-4 inhibitors are widely used in the treatment of type 2 diabetes.1 2 3 Given the large population of patients with type 2 diabetes receiving dipeptidyl peptidase-4 inhibitors worldwide,2 3 any safety concerns deserve attention. Dipeptidyl peptidase-4 inhibitors enhance the bioavailability of endogenous glucagon-like peptide-1 and glucose dependent insulinotropic polypeptide,2 both of which might affect postprandial gallbladder motility,4 5 raising concerns about the risks of gallbladder or biliary diseases with dipeptidyl peptidase-4 inhibitors. Early studies have proposed associations between gallbladder related events and incretin based drugs, including dipeptidyl peptidase-4 inhibitors and glucagon-like peptide-1 receptor agonists.4 6 7 However, the association between dipeptidyl peptidase-4 inhibitors and gallbladder or biliary diseases remains unclear. Therefore, we aimed to do a systematic review and meta-analysis of randomised controlled trials to evaluate the association between dipeptidyl peptidase-4 inhibitors and gallbladder or biliary diseases in patients with type 2 diabetes.

Methods

The systematic review and meta-analysis were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement for traditional pairwise meta-analysis and the PRISMA extension for network meta-analysis.8 9 The study protocol was prospectively registered (PROSPERO CRD 42021271647).

Study sources, searches, and identification

We searched PubMed, the Cochrane Library, EMBASE, and Web of Science for randomised controlled trials of dipeptidyl peptidase-4 inhibitors up to 31 July 2021. Three reviewers (LH, HZ, and JW) independently did literature searches with designed search strategies (supplementary table A). We also screening the reference lists of relevant systematic reviews and manually searched for grey literature in Google Scholar and public repositories.10 11 Four reviewers (LH, HZ, FP, and NY) independently identified the eligible studies according to the pre-formulated inclusion and exclusion criteria (supplementary table B). We included parallel group randomised controlled trials in adults with type 2 diabetes in the traditional pairwise meta-analysis if they compared dipeptidyl peptidase-4 inhibitors with placebo or non-incretin drugs, and we included them in the network meta-analysis if they compared dipeptidyl peptidase-4 inhibitors, glucagon-like peptide-1 receptor agonists, or sodium-glucose cotransporter-2 inhibitors with one another or with other antidiabetes drugs, placebo, or standard care. Disagreements or conflicts were resolved by discussion with other team members.

Data extraction and quality assessment

We extracted data from published articles and supplements, as well as public repositories. We assessed the risk of bias of eligible studies with the revised Cochrane risk of bias tool for randomised trials.12 We evaluated the certainty of the evidence from traditional pairwise meta-analysis and network meta-analysis by using the Grading of Recommendations, Assessment, Development and Evaluations framework (GRADE) for each outcome.13 14 15 Details about data extraction and quality assessment are in the supplementary methods.

Definition of outcomes

The outcomes were the composite of gallbladder or biliary diseases, cholecystitis, cholelithiasis, and biliary diseases. We identified the gallbladder or biliary diseases on the basis of the classifications in the Medical Dictionary for Regulatory Activities (MedDRA) version 22.0. The composite of gallbladder or biliary diseases incorporated cholelithiasis, cholecystitis, other gallbladder disorder, and biliary diseases. Cholecystitis, cholelithiasis, and biliary diseases were captured with the preferred terms, and we also included the lowest level terms that fell into the preferred terms listed above. Biliary diseases (preferred terms) included bile duct stone, bile duct obstruction, bile duct stenosis, biliary colic, biliary fistula, biliary cyst, and cholangitis.

Data synthesis and analysis

We did pairwise meta-analyses for dipeptidyl peptidase-4 inhibitors versus non-incretin based drugs or placebo. We assessed substantial heterogeneity by using χ2 tests (statistical heterogeneity: P<0.10) and τ2 (low: <0.04; low-moderate: 0.04-0.16; moderate-high: 0.16-0.36; high: >0.36).16 17 We calculated odds ratios and 95% confidence intervals by using fixed effect models with the Mantel-Haenszel method, and applied a correction proportional to the reciprocal of the size of the contrasting study arm to handle the zero events.18 19 20 We evaluated absolute risk differences on the basis of the calculated odds ratio and the mean event rate across the control groups for outcomes.18 21 We converted event rates into annual incidences for each outcome. We assessed the effects of duration of treatment (≥26 weeks or <26 weeks), specific dipeptidyl peptidase-4 inhibitors, and types of control (pure or active controls) on gallbladder or biliary diseases. We evaluated publication bias by visual assessment of asymmetry of the funnel plots and the Egger's asymmetry test.22 23 We did sensitivity analyses by using different pooling methods,24 using random effect models, including double zero studies,25 and omitting each study. We did network meta-analyses of randomised controlled trials with the frequentist method,26 comparing dipeptidyl peptidase-4 inhibitors, glucagon-like peptide-1 receptor agonists, and sodium-glucose cotransporter-2 inhibitors. We used fixed effect models to calculate the overall odds ratios and 95% confidence intervals and to evaluate the heterogeneities between studies for sparse network meta-analysis.27 We used forest plots and league tables of the effects to visualise comparisons of network estimations. We evaluated global inconsistency across different designs of treatment comparisons in the network by a design-by-treatment model with a generalised Q test.28 29 We used node splitting analysis to evaluate local inconsistency between direct and indirect results within each treatment comparison.30 31 32 We used comparison adjusted funnel plots to examine small study effects.33 We did sensitivity analysis by using random effects models to pool the results. We used the meta, netmeta package in R (version 4.0.2) and Stata 15 for all analyses. Statistical significance was set at two tailed P<0.05.

Patient and public involvement

Patients and the public were not involved in the planning, design, and implementation of the study, as this study used secondary data. No patients were asked to advise on interpretation or writing up of the manuscript.

Results

Study selection and characteristics of studies included

We included 82 randomised controlled trials (fig 1) with 104 833 participants with type 2 diabetes in the traditional pairwise meta-analysis.34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 Characteristics of studies and participants included in the pairwise meta-analysis are shown in table 1 and supplementary table C. The average age of participants was 59.4 years, and 39.7% (n=41 618) were female. The mean body mass index was 29.7, and mean haemoglobin A1c was 8.1%. Almost all trials documented gallbladder or biliary diseases as serious adverse events.
Fig 1

PRISMA flow diagram. DPP-4=dipeptidyl peptidase-4; GDM=gestational diabetes mellitus; GLP-1=glucagon-like peptide-1; RCT=randomised controlled clinical trial; T1DM=type 1 diabetes mellitus

Table 1

Characteristics of studies and participants in pairwise meta-analysis

TrialsNo of patientsTreatment durationMean age, yearsNo (%) femaleMean BMIMean HbA1c, %DPP-4 inhibitors treatmentComparators
Alogliptin
Nauck et al (2009)52426 weeks55.0262 (50)32.07.9Alogliptin 12.5/25 mgPlacebo
Pratley et al (2009)50026 weeks56.7239 (48)30.1NRAlogliptin 12.5/25 mgPlacebo
Rosenstock et al (2009)39026 weeks55.3229 (59)32.59.3Alogliptin 12.5/25 mgPlacebo
Rosenstock et al (2010)65426 weeks53.0334 (51)31.08.8Alogliptin 12.5/25 mgPlacebo
DeFronzo et al (2012)155326 weeks54.4857 (55)31.28.5Alogliptin 12.5/25 mgPlacebo; pioglitazone
EXAMINE (2013)538018 months61.01729 (32)28.78.0Alogliptin 25 mgPlacebo
Rosenstock et al (2013)44152 weeks70.0243 (55)29.87.5Alogliptin 25 mgGlipizide
Pratley et al (2014)76826 weeks53.1376 (49)30.4NRAlogliptin 12.5 mgPlacebo; metformin
ENDURE (2016)2620104 weeks55.41327 (51)31.27.6Alogliptin 12.5/25 mgGlipizide
SPEAD-A (2016)32212 months64.6134 (42)24.77.3Alogliptin 25 mgConventional treatment
Pan et al (2017)50516 weeks52.3206 (41)25.88.0Alogliptin 25 mgPlacebo; metformin; pioglitazone
Linagliptin
Gomis et al (2011)38924 weeks57.4152 (39)29.28.6Linagliptin 5 mgPlacebo
Owens et al (2011)105524 weeks57.9557 (53)28.38.1Linagliptin 5 mgPlacebo
Gallwitz et al (2012)15512 years59.8618 (40)30.27.7Linagliptin 5 mgGlimepiride
Lewin et al (2012)24518 weeks54.1118 (48)28.38.6Linagliptin 5 mgPlacebo
Kawamori et al (2012)48152 weeks60.1143 (30)25.18.1Linagliptin 5/10 mgVoglibose; placebo
Haak et al (2013)56654 weeks55.6256 (45)29.07.6Linagliptin 2.5 mgMetformin
Yki-Järvinen et al (2013)126152 weeks60.0603 (48)31.08.3Linagliptin 5 mgPlacebo
McGill et al (2014)13352 weeks64.453 (40)32.08.2Linagliptin 5 mgPlacebo
Laakso et al (2015)23552 weeks66.686 (37)35.68.1Linagliptin 5mgPlacebo; glimepiride
Ji et al (2015)68914 weeks53.0362 (53)29.08.0Linagliptin 5mgMetformin
DeFronzo et al (2015)81852 weeks55.8380 (46)31.18.0Linagliptin 5mgEmpagliflozin
Wang et al (2016)30524 weeks55.8153 (50)25.88.0Linagliptin 5 mgPlacebo
CARMELINA (2018)69792.2 years65.82589 (37)31.47.9Linagliptin 5 mgPlacebo
Ledesma et al (2019)30224 weeks72.4119 (39)28.18.1Linagliptin 5 mgPlacebo
CAROLINA (2019)60336.3 years64.02414 (40)30.17.2Linagliptin 5 mgPlacebo
Yang et al (2020)20624 weeks58.6100 (49)25.58.5Linagliptin 5 mgPlacebo
TRUST2 (2021)245156 weeks64.896 (39)24.47.8Linagliptin 5 mgPlacebo
Omarigliptin
Lee et al (2017)30624 weeks57.8160 (52)31.28.5Omarigliptin 25 mgPlacebo
Handelsman et al (2017)75054 weeks58336 (45)31.57.5Omarigliptin 25 mgGlimepiride
MK-3102-018 (2017)419296 weeks63.71254 (30)31.38.0Omarigliptin 25 mgPlacebo
Shankar et al (2017)402104 weeks57.1199 (50)32.58.1Omarigliptin 25 mgPlacebo; glimepiride
Gantz et al (2017)41252 weeks60.0138 (34)25.38.0Omarigliptin 25 mgPlacebo
MK-3102-006 (2018)48578 weeks55.5114 (24)29.68.1Omarigliptin 25 mgPlacebo
Saxagliptin
Chacra et al (2009)76824 weeks55.1421 (55)29.08.4Saxagliptin 2.5/5 mgPlacebo
Jadzinsky et al (2009)130624 weeks52.0663 (51)30.19.5Saxagliptin 5/10 mgMetformin
Hollander et al (2009)56524 weeks54.0285 (50)30.08.3Saxagliptin 2.5/5 mgPlacebo
DeFronzo et al (2009)74324 weeks54.6366 (49)31.48.1Saxagliptin 2.5/5/10mgPlacebo
Yang et al (2011)57024 weeks54.2295 (52)26.27.9Saxagliptin 5 mgPlacebo
Frederich et al (2012)36576 weeks54.9197 (54)30.58.0Saxagliptin 2.5/5 mgPlacebo
PROMPT (2012)28624 weeks58.7122 (43)31.77.8Saxagliptin 5 mgMetformin
SAVOR-TIMI 53 (2013)16 4922.1 years65.15455 (33)31.18.0Saxagliptin 5 mgPlacebo
Barnett et al (2013)45552 weeks57.2267 (59)32.78.7Saxagliptin 5 mgPlacebo
Rosenstock et al (2013)401206 weeks53.6197 (49)31.77.9Saxagliptin 2.5/5/10mgPlacebo
Goke et al (2013)85852 weeks57.5414 (48)31.47.7Saxagliptin 5 mgGlipizide
GENERATION (2015)71852 weeks72.6273 (38)29.67.6Saxagliptin 5 mgGlimepiride
Matthaei et al (2015)31552 weeks54.6166 (53)31.47.8Saxagliptin 5 mgPlacebo
SMART (2016)48124 weeks55.6196 (41)26.48.2Saxagliptin 5 mgAcarbose
START (2017)63924 weeks50.1211 (33)26.69.4Saxagliptin 5 mgPlacebo; metformin
SUPER (2017)46224 weeks59.1253 (55)26.28.5Saxagliptin 5 mgPlacebo
SPECIFY (2018)37448 weeks53.5145 (39)25.58.0Saxagliptin 5 mgGlimepiride
DapaZu (2018)93952 weeks58.4339 (36)32.98.3Saxagliptin 5 mgDapagliflozin; glimepiride
DELIGHT (2019)44524 weeks64.7131 (29)30.38.4Saxagliptin 5 mgPlacebo; dapagliflozin
Rosenstock et al (2019)58824 weeks56.7283 (48)31.98.2Saxagliptin 5mgDapagliflozin
Sitagliptin
Rosenstock et al (2006)35324 weeks56.2157 (44)31.58.1Sitagliptin 100 mgPlacebo
Charbonnel et al (2006)701104 weeks54.6301 (43)30.88.0Sitagliptin 100 mgPlacebo
Nauck et al (2006)117252 weeks56.7478 (41)31.27.7Sitagliptin 100 mgGlipizide
MK0431-023 (2006)52154 weeks55.1238 (46)32.18.1Sitagliptin 100/200 mgPlacebo
Goldstein et al (2007)109124 weeks53.5552 (51)32.18.8Sitagliptin 50/100 mgMetformin; placebo
Hanefeld et al (2008)55512 weeks55.5267 (48)31.87.7Sitagliptin 25/50/100mgPlacebo
Mohan et al (2009)53018 weeks50.9224 (42)25.08.7Sitagliptin 100 mgPlacebo
Vilsboll et al (2010)64124 weeks57.7315 (49)31.08.7Sitagliptin 100 mgPlacebo
Barzilai et al (2011)20624 weeks71.8109 (53)30.97.8Sitagliptin 100 mgPlacebo
Ferreira et al (2013)42254 weeks64.6170 (40)26.57.8Sitagliptin 100 mgGlipizide
CANTATA-D (2013)110152 weeks55.5582 (53)32.27.9Sitagliptin 100 mgCanagliflozin
CANTATA-D2 (2013)75552 weeks56.7333 (44)31.58.1Sitagliptin 100 mgCanagliflozin
Dobs et al (2013)26254 weeks55.2111 (42)30.48.8Sitagliptin 100 mgPlacebo
Henry et al (2013)161554 weeks50.6703 (44)31.18.8Sitagliptin 100 mgPioglitazone
Roden et al (2013)89924 weeks55.4348 (39)28.47.9Sitagliptin 100 mgPlacebo; empagliflozin
Ferrannini et al (2013)44478 weeks60.0220 (50)30.17.9Sitagliptin 100 mgEmpagliflozin
TECOS (2015)14 5403 years65.44297 (30)30.27.2Sitagliptin 100 mgPlacebo
Roden et al (2015)89976 weeks55.0340 (38)28.47.9Sitagliptin 100mgPlacebo; empagliflozin
Moses et al (2016)42254 weeks54.9229 (54)29.18.4Sitagliptin 100 mgPlacebo; pioglitazone
SPIKE (2016)274104 weeks63.7105 (38)25.08.1Sitagliptin 100 mgConventional therapy
Wang et al (2017)38024 weeks57.6186 (49)25.98.1Sitagliptin 100 mgPlacebo
Pratley et al (2017)123252 weeks55.0568 (46)31.98.6Sitagliptin 100 mgErtugliflozin
START-J (2017)291104 weeks70.5119 (41)24.17.6Sitagliptin 50 mgGlimepiride
BEGIN (2013)45426 weeks55.6185 (41)30.48.9Sitagliptin 100 mgInsulin degludec
CompoSIT-R (2018)61324 weeks67.2258 (42)31.77.7Sitagliptin 100 mgDapagliflozin
Vildagliptin
GALIANT (2009)262712 weeks55.71285 (49)32.48.0Vildagliptin 100 mgThiazolidinediones
Kanazawa et al (2017)7324 months69.127 (37)24.37.9Vildagliptin 100 mgConventional therapy
VERIFY (2019)19995 years54.31060 (53)31.16.7Vildagliptin 100 mgPlacebo

BMI=body mass index; CVD=cardiovascular diseases; DPP-4=dipeptidyl-peptidase-4; OAD=other antidiabetes drugs; NR=not reported; SU=sulphonylureas; T2DM=type 2 diabetes mellitus.

PRISMA flow diagram. DPP-4=dipeptidyl peptidase-4; GDM=gestational diabetes mellitus; GLP-1=glucagon-like peptide-1; RCT=randomised controlled clinical trial; T1DM=type 1 diabetes mellitus Characteristics of studies and participants in pairwise meta-analysis BMI=body mass index; CVD=cardiovascular diseases; DPP-4=dipeptidyl-peptidase-4; OAD=other antidiabetes drugs; NR=not reported; SU=sulphonylureas; T2DM=type 2 diabetes mellitus.

Risk of bias and quality of evidence

The risk of bias of eligible studies is shown in supplementary table D and supplementary figure A. Sixty seven (82%) of 82 trials had low risks or some concerns of bias across all five domains evaluated. The quality of evidence for outcomes in pairwise meta-analysis was rated as moderate or low in the comparisons between dipeptidyl peptidase-4 inhibitors and placebo or non-incretin drugs (table 2; table 3).
Table 2

GRADE profile of DPP-4 inhibitors and risk of gallbladder or biliary diseases in patients with type 2 diabetes compared with placebo or non-incretin drugs in pairwise meta-analyses

No of participants (No of trials); mean follow-upQuality assessmentSummary of findingsOverall quality of evidence
Risk of biasInconsistencyIndirectnessImprecisionPublication biasStudy event ratesRelative effect, OR (95% CI)Anticipated absolute effect*
With DPP-4 inhibitorsWith controlRisk with controlRisk difference (95% CI) with DPP-4 inhibitors
Composite of gallbladder or biliary diseases
104 833 (82); 1.14 yearsSome concerns Not seriousNot seriousSome concerns None; symmetrical funnel plot; Egger’s test P=0.480.60% (338/56 005)0.52% (256/48 828)1.22 (1.04 to 1.43)5011 (2 to 21)Low ⨁⨁ ? ?
Cholecystitis
91 951 (60); 1.20 yearsSome concerns Not seriousNot seriousNot seriousNone; symmetrical funnel plot; Egger’s test P=0.490.36% (173/48 231)0.25% (110/43 720)1.43 (1.14 to 1.79)3515 (5 to 27)Moderate ⨁⨁⨁ ?
Cholelithiasis
88 423 (49); 1.36 yearsSome concerns Not seriousNot seriousSome concerns None; symmetrical funnel plot; Egger’s test P=0.510.23% (110/47 240)0.23% (94/41 183)1.08 (0.83 to 1.39)262 (−4 to 10)Low ⨁⨁ ? ?
Biliary diseases
72 900 (28); 1.58 yearSome concerns Not seriousNot seriousSome concerns None; symmetrical funnel plot; Egger’s test P=0.970.12% (46/37 591)0.12% (42/35 309)1.00 (0.68 to 1.47)150 (−5 to 7)Low ⨁⨁ ? ?

CI=confidential interval; DPP-4=dipeptidyl-peptidase-4; GRADE=Grading of Recommendations Assessment, Development, and Evaluation; OR=odds ratio.

GRADE Working Group grades of evidence: high certainty=we are very confident that the true effect lies close to that of the estimate of the effect; moderate certainty=we are moderately confident in the effect estimate—the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different; low certainty=our confidence in the effect estimate is limited—the true effect may be substantially different from the estimate of the effect; very low certainty=we have very little confidence in the effect estimate—the true effect is likely to be substantially different from the estimate of effect.

Anticipated absolute effect is event rate per 10 000 person years.

All randomised controlled trials included in this analysis were designed to evaluate efficacy of DPP-4 inhibitors and did not report gallbladder or biliary diseases as safety endpoints of interest. Concerns might arise about selective reporting of results, considering that occurrence of gallbladder or biliary diseases might not be fully reported in trials.

Considering wide confidence intervals.

Table 3

Summary findings from pairwise and network meta-analysis

AnalysesTreatment comparisonsComposite of gallbladder or biliary diseasesCholecystitisCholelithiasisBiliary diseases
Odds ratio (95% CI)Quality of evidence* Odds ratio (95% CI)Quality of evidence* Odds ratio (95% CI)Quality of evidenceOdds ratio (95% CI)Quality of evidence
Effects from traditional pairwise meta-analysisDPP-4 inhibitors v placebo or non-incretin drugs1.22 (1.04 to 1.43)Low1.43 (1.14, 1.79)Moderate1.08 (0.83 to 1.39)Low1.00 (0.68 to 1.47)Low
Mixed effects from network meta-analysis (direct+indirect)DPP-4 inhibitors v controls 1.24 (1.06 to 1.46)Low1.45 (1.14 to 1.84)Moderate1.14 (0.87 to 1.49)Low0.95 (0.64 to 1.42)Low
GLP-1 receptor agonists v controls 1.31 (1.17 to 1.47)High1.37 (1.13 to 1.65)High1.27 (1.08 to 1.51)High1.42 (0.97 to 2.08)Moderate
SGLT-2 inhibitors v controls 0.94 (0.81 to 1.10)Moderate0.94 (0.76 to 1.16)Moderate0.87 (0.66 to 1.15)Moderate0.98 (0.67 to 1.45)Low
DPP-4 inhibitors v GLP-1 receptor agonists0.95 (0.79 to 1.16)Moderate1.06 (0.79 to 1.43)Low0.89 (0.66 to 1.21)Low0.67 (0.39 to 1.15)Low
DPP-4 inhibitors v SGLT-2 inhibitors1.32 (1.06 to 1.64)Low1.55 (1.13 to 2.12)Moderate1.3 1(0.90 to 1.91)Low0.97 (0.56 to 1.67)Low
GLP-1 receptor agonists v SGLT-2 inhibitors1.39 (1.15 to 1.68)Low1.46 (1.09 to 1.94)Low1.46 (1.06 to 2.02)Low1.44 (0.84 to 2.46)Low
Indirect effects from network meta-analysisDPP-4 inhibitors v controls 1.21 (0.70 to 2.11)Low1.00 (0.34 to 2.91)Low1.66 (0.75 to 3.71)Low1.56 (0.38 to 6.42)Low
GLP-1 receptor agonists v controls 1.13 (0.65 to 1.95)Moderate2.18 (0.72 to 6.62)Moderate0.75 (0.35 to 1.60)Moderate0.69 (0.17 to 2.69)Low
SGLT-2 inhibitors v controls 1.37 (0.62 to 3.02)Low0.85 (0.24 to 2.96)Low1.02 (0.31 to 3.33)Low1.29 (0.23 to 7.19)Low
DPP-4 inhibitors v GLP-1 receptor agonists0.95 (0.77 to 1.16)Moderate1.12 (0.82 to 1.52)Low0.85 (0.61 to 1.18)Low0.61 (0.35 to 1.09)Low
DPP-4 inhibitors v SGLT-2 inhibitors1.27 (1.02 to 1.59)Low1.44 (1.04 to 2.00)Moderate1.22 (0.82 to 1.80)Low0.97 (0.55 to 1.70)Low
GLP-1 receptor agonists v SGLT-2 inhibitors1.41 (1.16 to 1.71)Low1.46 (1.09 to 1.94)Low1.50 (1.08 to 2.09)Low1.50 (0.87 to 2.60)Low

CI=confidence interval ; DPP-4=dipeptidyl peptidase-4; GLP-1=glucagon-like peptide-1; SGLT-2=sodium-glucose cotransporter-2.

Quality of evidence was evaluated using non-contextualised GRADE approach.

Controls=placebo or other antidiabetes drugs (excluding DPP-4 inhibitors, GLP-1 receptor agonists, and SGLT-2 inhibitors).

GRADE profile of DPP-4 inhibitors and risk of gallbladder or biliary diseases in patients with type 2 diabetes compared with placebo or non-incretin drugs in pairwise meta-analyses CI=confidential interval; DPP-4=dipeptidyl-peptidase-4; GRADE=Grading of Recommendations Assessment, Development, and Evaluation; OR=odds ratio. GRADE Working Group grades of evidence: high certainty=we are very confident that the true effect lies close to that of the estimate of the effect; moderate certainty=we are moderately confident in the effect estimate—the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different; low certainty=our confidence in the effect estimate is limited—the true effect may be substantially different from the estimate of the effect; very low certainty=we have very little confidence in the effect estimate—the true effect is likely to be substantially different from the estimate of effect. Anticipated absolute effect is event rate per 10 000 person years. All randomised controlled trials included in this analysis were designed to evaluate efficacy of DPP-4 inhibitors and did not report gallbladder or biliary diseases as safety endpoints of interest. Concerns might arise about selective reporting of results, considering that occurrence of gallbladder or biliary diseases might not be fully reported in trials. Considering wide confidence intervals. Summary findings from pairwise and network meta-analysis CI=confidence interval ; DPP-4=dipeptidyl peptidase-4; GLP-1=glucagon-like peptide-1; SGLT-2=sodium-glucose cotransporter-2. Quality of evidence was evaluated using non-contextualised GRADE approach. Controls=placebo or other antidiabetes drugs (excluding DPP-4 inhibitors, GLP-1 receptor agonists, and SGLT-2 inhibitors).

Association of dipeptidyl peptidase-4 inhibitors with gallbladder or biliary diseases

We found a significant association between dipeptidyl peptidase-4 inhibitors and an increased risk of the composite of gallbladder or biliary diseases (odds ratio 1.22 (95% confidence interval 1.04 to 1.43); τ2=0.027; absolute risk difference 11 (2 to 21) more events per 10 000 person years) compared with placebo or non-incretin drugs (table 2; fig 2; supplementary figure B). Dipeptidyl peptidase-4 inhibitors significantly increased the risk of cholecystitis (odds ratio 1.43 (1.14 to 1.79); τ2=0; absolute risk difference 15 (5 to 27) more events per 10 000 person years) but not of cholelithiasis or biliary diseases (fig 2; supplementary figure B).
Fig 2

Risks of cholecystitis, cholelithiasis, and biliary disease in patients taking dipeptidyl peptidase-4 inhibitors (DPP-4i). Absolute risk difference (ARD) is number of events per 10 000 person years. Control groups=placebo or non-incretin drugs. CI=confidence interval

Risks of cholecystitis, cholelithiasis, and biliary disease in patients taking dipeptidyl peptidase-4 inhibitors (DPP-4i). Absolute risk difference (ARD) is number of events per 10 000 person years. Control groups=placebo or non-incretin drugs. CI=confidence interval

Effects of duration of treatment, specific dipeptidyl peptidase-4 inhibitors, and types of control

Dipeptidyl peptidase-4 inhibitors with a longer duration of treatment (≥26 weeks) were significantly associated with increased risks of the composite of gallbladder or biliary diseases (odds ratio 1.24, 1.04 to 1.48) and cholecystitis (1.51, 1.17 to 1.95), but those with a shorter duration (<26 weeks) were not (supplementary figure C). When we classified the duration of treatment into four groups, we observed a stepwise increase in the risk of outcomes as the duration of treatment increased (supplementary table E), although the group differences were not significant (P value for interaction >0.05). The modified effects of specific dipeptidyl peptidase-4 inhibitors on the risks of cholecystitis were not significant (supplementary figure D). We observed no significant differences between pure and active controls for the outcomes (supplementary figure E).

Sensitive analyses

After use of different pooling methods and random effect models and inclusion of double arm, zero events studies (supplementary tables F-H), the results did not change for any outcomes. When we omitted each trial one by one (supplementary figure F) or removed the CAROLINA and CARMELINA trials simultaneously (supplementary table I), the results of outcomes remained stable, except for the composite of gallbladder or biliary diseases.

Publication bias

We observed no publication bias in the included studies for the composite of gallbladder or biliary diseases, cholelithiasis, cholecystitis, or biliary diseases when we used Egger’s test (table 2). The funnel plots were visually symmetrical (supplementary figure G) in traditional pairwise meta-analysis.

Comparisons between dipeptidyl peptidase-4 inhibitors, glucagon-like peptide-1 receptor agonists, and sodium-glucose cotransporter-2 inhibitors in network meta-analysis

We included 184 trials in a network of comparisons among the three classes of antidiabetes drugs (supplementary figure H; supplementary tables J and K). Network plots of treatment comparisons are shown in figure 3, and network estimates are shown in figure 4 and supplementary table L. Dipeptidyl peptidase-4 inhibitors increased the risks of the composite of gallbladder or biliary diseases (odds ratio 1.32, 1.06 to 1.64) and cholecystitis (1.55, 1.13 to 2.12) compared with sodium-glucose cotransporter-2 inhibitors, as well as compared with placebo or other antidiabetes drugs (fig 4). We found no significant differences between dipeptidyl peptidase-4 inhibitors and glucagon-like peptide-1 receptor agonists in any outcomes. The results from random effects models were similar to those from fixed effect models (supplementary tables L and M). Table 3 shows the summary of the results from traditional pairwise meta-analysis and the network meta-analysis.
Fig 3

Network plots of comparisons of dipeptidyl peptidase-4 (DPP-4) inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, and sodium-glucose cotransporter-2 (SGLT-2) inhibitors in network meta-analyses. Size of circle in each network is proportional to number of participants randomly assigned to treatment comparison. Width of each line is proportional to number of trials comparing two connected treatments. Number provided for each treatment class (in parentheses) indicates number of patients randomised to treatment in network. Controls are placebo or other antidiabetes drugs (excluding DPP-4 inhibitors, GLP-1 receptor agonists, and SGLT-2 inhibitors); k indicates number of comparisons; n indicates number of patients per comparison

Fig 4

Estimates in network meta-analysis comparing dipeptidyl peptidase-4 (DPP-4) inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, and sodium-glucose cotransporter-2 (SGLT-2) inhibitors. Controls are placebo or other antidiabetes drugs (excluding DPP-4 inhibitors, GLP-1 receptor agonists, and SGLT-2 inhibitors). No of studies indicates number of studies in direct comparison. CI=confidence interval

Network plots of comparisons of dipeptidyl peptidase-4 (DPP-4) inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, and sodium-glucose cotransporter-2 (SGLT-2) inhibitors in network meta-analyses. Size of circle in each network is proportional to number of participants randomly assigned to treatment comparison. Width of each line is proportional to number of trials comparing two connected treatments. Number provided for each treatment class (in parentheses) indicates number of patients randomised to treatment in network. Controls are placebo or other antidiabetes drugs (excluding DPP-4 inhibitors, GLP-1 receptor agonists, and SGLT-2 inhibitors); k indicates number of comparisons; n indicates number of patients per comparison Estimates in network meta-analysis comparing dipeptidyl peptidase-4 (DPP-4) inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, and sodium-glucose cotransporter-2 (SGLT-2) inhibitors. Controls are placebo or other antidiabetes drugs (excluding DPP-4 inhibitors, GLP-1 receptor agonists, and SGLT-2 inhibitors). No of studies indicates number of studies in direct comparison. CI=confidence interval We observed no significant between study heterogeneities, between design inconsistencies, or inconsistencies between direct and indirect treatment comparisons for all outcomes in the network meta-analysis (supplementary tables N and O). We observed no small study effects in the studies included in the network meta-analysis (supplementary figure I). The quality of evidence for results from the network meta-analysis is shown in supplementary table P.

Discussion

To our knowledge, this is the first study to systematically assess the association between dipeptidyl peptidase-4 inhibitors and gallbladder or biliary diseases. Our findings showed that dipeptidyl peptidase-4 inhibitors increased the risk of cholecystitis, which tended to be observed in patients with a longer duration of treatment. The risk of cholecystitis was higher with dipeptidyl peptidase-4 inhibitors than with sodium-glucose cotransporter-2 inhibitors but similar to that with glucagon-like peptide-1 receptor agonists.

Comparison with other studies

Few studies have assessed the effects of dipeptidyl peptidase-4 inhibitors on gallbladder or biliary diseases.2 116 A retrospective study enrolled patients with type 2 diabetes and reported no significant associations between dipeptidyl peptidase-4 inhibitors and an increased risk of gallbladder or biliary diseases.7 However, the retrospective design could be associated with various biases and confounding, and the study did not analyse the specific risks of cholecystitis. We noted some discrepancies between the pooled results of our study and those of some large scale randomised controlled trials, such as SAVOR-TIMI trial, and the reasons for this are unknown. Possibly, differences in populations, periods of follow-up, specific dipeptidyl peptidase inhibitors, and reporting of outcomes may play a role. Intriguingly, although we found that glucagon-like peptide-1 receptor agonists increased the risks of cholecystitis compared with sodium-glucose cotransporter-2 inhibitors or controls (placebo or other antidiabetes drugs) in the network meta-analysis, consistent with previous studies,4 6 117 dipeptidyl peptidase-4 inhibitors were not associated with lower risks of cholecystitis than glucagon-like peptide-1 receptor agonists. Furthermore, the results from traditional pairwise meta-analysis were similar to those from the network meta-analysis that simultaneously combined direct and indirect effects. The gallbladder or biliary effects of dipeptidyl peptidase-4 inhibitors might be attributed to the roles of glucagon-like peptide-1 and glucose dependent insulinotropic polypeptide.5 118 Glucagon-like peptide-1 is involved in impaired gallbladder mobility and contractility by inhibiting the secretion of cholecystokinin,118 which could contribute to the development of gallbladder or biliary diseases.4 Additionally, glucose dependent insulinotropic polypeptide was recently reported to play a role in gallbladder relaxation.5 Increased risks of gallbladder or biliary diseases tended to be apparent in patients receiving dipeptidyl peptidase-4 inhibitors for a longer duration, which suggested that a sufficiently long treatment duration was needed to allow the gallbladder or biliary effects of dipeptidyl peptidase-4 inhibitors to be explored. A previous study did not observe the effects of sitagliptin on gallbladder emptying,119 possibly owing to the short treatment duration (12 weeks). More importantly, as the duration of prescriptions for dipeptidyl peptidase-4 inhibitors is usually longer in routine practice than in clinical trials,120 awareness of the role of treatment duration might be of great clinical importance.

Strengths and limitations of study

This study has several strengths. Firstly, this is the first systematic review and meta-analysis pooling the results of randomised controlled trials to assess the association between dipeptidyl peptidase-4 inhibitors and gallbladder or biliary diseases. Secondly, our findings showed the possible effects of the duration of dipeptidyl peptidase-4 inhibitor treatment on gallbladder or biliary diseases. Thirdly, we did network meta-analysis to compare the three antidiabetes drugs. Nevertheless, our study has some limitations. Firstly, the included studies were not specifically designed to evaluate the effects of dipeptidyl peptidase-4 inhibitors on gallbladder or biliary diseases. Secondly, gallbladder or biliary diseases were not predefined safety outcomes in the included studies and hence might be underreported. Although the data might not be fully collected, this is unlikely to bias the associations found. Thirdly, patient level data were inaccessible for the meta-analysis.

Policy implications

Dipeptidyl peptidase-4 inhibitors are considered to have a good safety profile,2 and concerns about potential adverse events have usually focused on heart failure,121 bullous pemphigoids,122 123 pancreatitis,124 and severe joint pain.125 The US Food and Drug Administration has released warnings about the risk of heart failure and severe joint pain with dipeptidyl peptidase-4 inhibitors.126 127 However, the potential risk of cholecystitis attributed to dipeptidyl peptidase-4 inhibitors has not yet been investigated. This study highlights the importance and raises awareness of the risks of cholecystitis with dipeptidyl peptidase-4 inhibitors for physicians and should encourage researchers to make them predefined safety endpoints. These findings may be also extended to double or triple agonists, including glucagon-like peptide-1, glucose dependent insulinotropic polypeptide, or both. Although dipeptidyl peptidase-4 inhibitors increased relative risk for cholecystitis in patients with type 2 diabetes, the overall absolute risk increase was small (15 cases per 10 000 people per year). This absolute risk increase should be weighed against the benefits of dipeptidyl peptidase-4 inhibitor treatment.11 30

Conclusions

Dipeptidyl peptidase-4 inhibitors might increase the risk of cholecystitis in patients with type 2 diabetes. Our findings suggest that physicians should be concerned about increased risks of cholecystitis in patients with type 2 diabetes treated with dipeptidyl peptidase-4 inhibitors in clinical practice, especially with longer treatment durations. Future studies are encouraged to fully report gallbladder or biliary diseases. Glucagon-like peptide-1 (GLP-1) is involved in the development of impaired gallbladder motility Liraglutide, an important member of the GLP-1 receptor agonist class, has been reported to be associated with an increased risk of gallbladder or biliary diseases Glucose dependent insulinotropic polypeptide has also been reported to affect gallbladder motility Dipeptidyl peptidase-4 (DPP-4) inhibitors were significantly associated with an increased risk of the composite of gallbladder or biliary diseases and cholecystitis DPP-4 inhibitors were not associated with increased risk of cholelithiasis and biliary diseases Risk of cholecystitis was increased with DPP-4 inhibitors compared with sodium-glucose cotransporter-2 inhibitors but not GLP-1 receptor agonists
  123 in total

1.  Efficacy and safety of initial combination therapy with alogliptin plus metformin versus either as monotherapy in drug-naïve patients with type 2 diabetes: a randomized, double-blind, 6-month study.

Authors:  R E Pratley; P Fleck; C Wilson
Journal:  Diabetes Obes Metab       Date:  2014-02-12       Impact factor: 6.577

2.  GIP and GLP-1 Receptor Antagonism During a Meal in Healthy Individuals.

Authors:  Lærke S Gasbjerg; Mads M Helsted; Bolette Hartmann; Alexander H Sparre-Ulrich; Simon Veedfald; Signe Stensen; Amalie R Lanng; Natasha C Bergmann; Mikkel B Christensen; Tina Vilsbøll; Jens J Holst; Mette M Rosenkilde; Filip K Knop
Journal:  J Clin Endocrinol Metab       Date:  2020-03-01       Impact factor: 5.958

3.  A randomized clinical trial evaluating the efficacy and safety of the once-weekly dipeptidyl peptidase-4 inhibitor omarigliptin in patients with type 2 diabetes inadequately controlled on metformin monotherapy.

Authors:  R Ravi Shankar; Silvio E Inzucchi; Victoria Scarabello; Ira Gantz; Keith D Kaufman; Eseng Lai; Paulette Ceesay; Shailaja Suryawanshi; Samuel S Engel
Journal:  Curr Med Res Opin       Date:  2017-06-23       Impact factor: 2.580

4.  Dipeptidyl Peptidase-4 Inhibitors and the Risk of Heart Failure.

Authors:  Faiez Zannad; Patrick Rossignol
Journal:  Circulation       Date:  2019-01-15       Impact factor: 29.690

5.  Efficacy and safety of alogliptin in patients with type 2 diabetes mellitus: A multicentre randomized double-blind placebo-controlled Phase 3 study in mainland China, Taiwan, and Hong Kong.

Authors:  Changyu Pan; Ping Han; Qiuhe Ji; Chengjiang Li; Juming Lu; Jinkui Yang; Wenhui Li; Jiaoe Zeng; An-Tsz Hsieh; Juliana Chan
Journal:  J Diabetes       Date:  2016-08-01       Impact factor: 4.006

6.  Efficacy and safety of saxagliptin added to metformin in Asian people with type 2 diabetes mellitus: a randomized controlled trial.

Authors:  Wenying Yang; Chang Yu Pan; Conrad Tou; June Zhao; Ingrid Gause-Nilsson
Journal:  Diabetes Res Clin Pract       Date:  2011-08-26       Impact factor: 5.602

7.  Efficacy and tolerability of the DPP-4 inhibitor alogliptin combined with pioglitazone, in metformin-treated patients with type 2 diabetes.

Authors:  R A DeFronzo; C F Burant; P Fleck; C Wilson; Q Mekki; R E Pratley
Journal:  J Clin Endocrinol Metab       Date:  2012-03-14       Impact factor: 5.958

8.  Empagliflozin monotherapy with sitagliptin as an active comparator in patients with type 2 diabetes: a randomised, double-blind, placebo-controlled, phase 3 trial.

Authors:  Michael Roden; Jianping Weng; Jens Eilbracht; Bruno Delafont; Gabriel Kim; Hans J Woerle; Uli C Broedl
Journal:  Lancet Diabetes Endocrinol       Date:  2013-09-09       Impact factor: 32.069

9.  Triple therapy with low-dose dapagliflozin plus saxagliptin versus dual therapy with each monocomponent, all added to metformin, in uncontrolled type 2 diabetes.

Authors:  Julio Rosenstock; Shira Perl; Eva Johnsson; Ricardo García-Sánchez; Stephan Jacob
Journal:  Diabetes Obes Metab       Date:  2019-06-24       Impact factor: 6.577

10.  Associations between statins and adverse events in primary prevention of cardiovascular disease: systematic review with pairwise, network, and dose-response meta-analyses.

Authors:  Ting Cai; Lucy Abel; Oliver Langford; Genevieve Monaghan; Jeffrey K Aronson; Richard J Stevens; Sarah Lay-Flurrie; Constantinos Koshiaris; Richard J McManus; F D Richard Hobbs; James P Sheppard
Journal:  BMJ       Date:  2021-07-14
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