LivingGLP1
Network meta-analysis

Vomiting

Chronic kidney disease with diabetes

longest follow-upRecorded harmsDoses of a drug pooledHazard ratio (from event counts)Separate part 2 of a disconnected network
5
Randomized trials
6
Treatments
1,026
Participants
87
Events

In plain language

Across 5 trials with 1,026 participants, 0 of 5 treatments had a clearly better result than placebo on vomiting, 3 a clearly worse one, and for 2 the evidence could not tell them apart from placebo. The most favorable estimate was for Lixisenatide injection: hazard ratio (from event counts) 1.39 (95% credible interval 0.19 to 11.24).

Lower values favor the treatment. "Clearly" means the 95% credible interval excludes no difference. These are averages across trials; they do not say how any one person will respond. Not medical advice.

Network of trials

Each circle is a treatment; each line joins treatments that were randomized against each other in at least one trial.
COTA_SCHRS7535_POLIRA_SCLIXI_SCPLACEBOSEMA_PO
Node area shows participants; line width shows trials comparing two treatments directly. Blue: GLP-1 receptor agonist containing treatments; grey: comparators. Hover over or tab to a node or line for details.

Effects compared with Placebo

Hazard ratio (from event counts). Lower values favor the treatment.
0.10.20.250.51245102050← favors treatmentfavors reference →Lixisenatide injectionHRS-7535 tabletLiraglutide injectionCotadutide injectionSemaglutide tablet
Versus Placebo, log scale. Blue: Bayesian random effects posterior median with 95% credible interval (thick) and 95% prediction interval (dashed). Amber diamond: frequentist estimate with 95% confidence interval. Hover over or tab to a row for its values.
Effects of each treatment versus Placebo
TreatmentBayesian HR (95% CrI)95% prediction intervalFrequentist HR (95% CI)Verdict
Lixisenatide injection
LIXI_SC
1.39 (0.19 to 11.24)0.14 to 14.411.50 (0.24 to 9.38)Unclear
HRS-7535 tablet
HRS7535_PO
5.06 (1.11 to 24.82)0.69 to 33.04Worse
Liraglutide injection
LIRA_SC
5.32 (1.11 to 25.67)0.76 to 38.276.27 (1.79 to 21.90)Worse
Cotadutide injection
COTA_SC
5.43 (0.76 to 52.11)0.56 to 62.78Unclear
Semaglutide tablet
SEMA_PO
8.22 (1.53 to 46.13)1.11 to 65.0610.49 (2.40 to 45.82)Worse

Ranking

How likely each treatment is to be among the best. Rankings ignore the size of differences and their certainty, so read them with the effects above.

League table

Every treatment against every other: hazard ratio (from event counts) of the row treatment versus the column treatment, posterior median and 95% credible interval. Green: row clearly better; red: row clearly worse.
Every treatment in a row compared with every treatment in a column
Row versus columnPLACEBOLIXI_SCHRS7535_POLIRA_SCCOTA_SCSEMA_PO
PLACEBOPLACEBO0.72
0.09 to 5.14
0.20
0.04 to 0.90
0.19
0.04 to 0.90
0.18
0.02 to 1.32
0.12
0.02 to 0.65
LIXI_SC1.39
0.19 to 11.24
LIXI_SC0.28
0.02 to 3.41
0.26
0.02 to 3.71
0.26
0.01 to 4.21
0.17
0.01 to 2.47
HRS7535_PO5.06
1.11 to 24.82
3.63
0.29 to 43.72
HRS7535_PO0.96
0.11 to 8.17
0.94
0.06 to 11.12
0.61
0.07 to 6.18
LIRA_SC5.32
1.11 to 25.67
3.82
0.27 to 48.28
1.04
0.12 to 9.08
LIRA_SC0.98
0.07 to 11.75
0.64
0.06 to 6.86
COTA_SC5.43
0.76 to 52.11
3.90
0.24 to 76.56
1.07
0.09 to 15.89
1.02
0.09 to 15.29
COTA_SC0.66
0.05 to 10.88
SEMA_PO8.22
1.53 to 46.13
6.05
0.40 to 79.84
1.65
0.16 to 14.70
1.56
0.15 to 15.78
1.53
0.09 to 19.69
SEMA_PO

Heterogeneity, fit and convergence

Bayesian random effects (primary)

Heterogeneity (tau)
0.371 (95% CrI 0.086 to 1.398), log scale
Residual deviance
9.5 for 10 data points
DIC
18.6 (pD 9.2)
Largest R-hat
1.002
Smallest ESS
bulk 5,314, tail 4,013
Divergent transitions
0
Convergence
All criteria met
Priors
PR02 N(0, 5^2); PR05 N(0, 2.5^2); PR09 log normal(-1.87, 1.52^2) on tau^2 (Adverse events, pharm vs placebo control)

Frequentist check (netmeta)

Method
inverse variance, REML, OR
Tau
0.000
Q (total)
0.00 on 0 df
Q (between designs)
0.00

Inconsistency

Do trials comparing two treatments directly agree with the indirect evidence through other treatments?

No comparison here has both direct and indirect evidence, so inconsistency cannot be checked by node splitting; the between designs Q above is the global check.

Small study effects

A comparison adjusted funnel plot: each point is one trial comparison, centered on its own network estimate. Asymmetry can signal that small trials with unfavorable results are missing.

Fewer than ten trial comparisons, too few to judge funnel plot asymmetry.

Baseline characteristics of the trials

The baseline value of each effect modifier or prognostic factor that applies here, per trial: mean or percent over arms, weighted by the number randomized. A note under a value names a stand in (a median for a mean, 100 minus the male share, Asian subgroup rows, an all Asian site list); "not reported" means no source of the trial prints it.
Baseline effect modifiers and prognostic factors per trial
TrialSex (percent female)
effect modifier, prognostic factor; 5 of 5
SOLID-DKD
S001370
26.07
NCT01620489
S001504
49.1
PIONEER 5
S002025
51.85
NCT03550378
S002039
48.8
S002858
S002858
35.35

Comparability of the trials

Checked across designs (the set of treatments each trial compares) for eligibility, outcome definition and assessment, and the baseline factors above. Flags point to possible intransitivity; notes describe variation that is not tied to design.
  • FlagBaseline, Sex: design means range from 26.1 (HRS7535_PO vs PLACEBO) to 51.9 (PLACEBO vs SEMA_PO) percent female; threshold 15
  • NoteOutcome assessment, time point: selected time points span 8.43 to 31 weeks
  • NoteOutcome assessment, analysis set: mixed: randomized 1, safety 4
  • NoteOutcome assessment, definition: mixed: level 3 severe hypoglycemia 1, not stated 4
  • NoteData handling, input conversions: arms_combined 1, nonserious_only 4
Comparability items per trial
Trialtime weeksanalysis setdefinitioninstrumentadjudicatedproportion methodintercurrent events (discontinuation)intercurrent events (rescue)blindingfundingstart yearEligibility
SOLID-DKD18safetylevel 3 severe hypoglycemianot statednot statednot statednot statednot stateddouble_blindindustry2024age 18 to 75; T2D with UACR 300 to below 3000 mg/g; eGFR 30 or more; HbA1c 6.5 to 10; BMI 20 to 40
NCT0162048927safetynot statednot statednot statednot statednot statednot stateddouble_blindindustry2012type 2 diabetes; eGFR 30 to 59 mL/min/1.73m2 (MDRD); oral drugs and/or insulin
PIONEER 531safetynot statednot statednot statednot statednot statednot stateddouble_blindindustry2016type 2 diabetes; HbA1c 7.0 to 9.5 percent; moderate renal impairment
NCT035503788.43safetynot statednot statednot statednot statednot statednot stateddouble_blindindustry2018age 18 to 84; BMI 25 to 45; eGFR 30 to 59; HbA1c 6.5 to 10.5 percent
S00285824randomizednot statednot statednot statednot statednot statednot stateddouble_blindindustryT2D age over 35; clinical CKD; eGFR above 30 mL/min; stable ACE inhibitor or ARB

Trial data

What each trial contributes. Arm rows give the arm value with its standard error, or events over participants; contrast rows give the hazard ratio (from event counts) on the analysis scale (log) against the trial's first row. Flags mark converted, combined or approximated inputs.
Trial data entering this analysis
TrialArmTreatmentWeekDataValueSEEvents / NFlagsSource
SOLID-DKDA1+A2HRS7535_PO18arm, events31 / 187arms_combinedR0004355:Table 2
SOLID-DKDA3PLACEBO18arm, events3 / 94R0004355:Table 2
NCT01620489A1LIRA_SC27arm, events17 / 140nonserious_onlyregistry:adverse_events
NCT01620489A2PLACEBO27arm, events3 / 139nonserious_onlyregistry:adverse_events
PIONEER 5A1SEMA_PO31arm, events19 / 163nonserious_onlyregistry:adverse_events
PIONEER 5A2PLACEBO31arm, events2 / 161nonserious_onlyregistry:adverse_events
NCT03550378A1COTA_SC8.43arm, events6 / 21R0019218:Table 2
NCT03550378A2PLACEBO8.43arm, events1 / 20R0019218:Table 2
S002858A1LIXI_SC24arm, events3 / 51R0001573:Supplement Table S1
S002858A2PLACEBO24arm, events2 / 50R0001573:Supplement Table S1

Rerun this analysis yourself

Remove treatments or trials and refit the frequentist and Bayesian models in your browser, with the same methods as the published analysis.

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