LivingGLP1
Network meta-analysis

Constipation

Chronic kidney disease with diabetes

longest follow-upRecorded harmsEach dose separatelyHazard ratio (from event counts)Separate part 2 of a disconnected network
3
Randomized trials
4
Treatments
704
Participants
38
Events

In plain language

Across 3 trials with 704 participants, 0 of 3 treatments had a clearly better result than placebo on constipation, and for 3 the evidence could not tell them apart from placebo. The most favorable estimate was for Lixisenatide 20 ug subcutaneous once daily: hazard ratio (from event counts) 1.67 (95% credible interval 0.15 to 21.23).

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.
LIRA_SC_1p8MG_QDLIXI_SC_20UG_QDPLACEBOSEMA_PO_14MG_QD
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.
0.10.20.250.512451020← favors treatmentfavors reference →Lixisenatide 20 ug subcutaneous …Semaglutide 14 mg oral once dail…Liraglutide 1.8 mg subcutaneous …
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 20 ug subcutaneous once daily
LIXI_SC_20UG_QD
1.67 (0.15 to 21.23)0.12 to 27.57Unclear
Semaglutide 14 mg oral once daily (original tablet)
SEMA_PO_14MG_QD
3.07 (0.75 to 12.36)0.45 to 20.78Unclear
Liraglutide 1.8 mg subcutaneous once daily
LIRA_SC_1p8MG_QD
3.58 (0.63 to 24.60)0.42 to 33.46Unclear

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_SC_20UG_QDSEMA_PO_14MG_QDLIRA_SC_1p8MG_QD
PLACEBOPLACEBO0.60
0.05 to 6.50
0.33
0.08 to 1.33
0.28
0.04 to 1.60
LIXI_SC_20UG_QD1.67
0.15 to 21.23
LIXI_SC_20UG_QD0.56
0.03 to 9.81
0.46
0.02 to 10.32
SEMA_PO_14MG_QD3.07
0.75 to 12.36
1.79
0.10 to 29.65
SEMA_PO_14MG_QD0.85
0.08 to 8.16
LIRA_SC_1p8MG_QD3.58
0.63 to 24.60
2.17
0.10 to 44.54
1.18
0.12 to 12.30
LIRA_SC_1p8MG_QD

Heterogeneity, fit and convergence

Bayesian random effects (primary)

Heterogeneity (tau)
0.373 (95% CrI 0.085 to 1.531), log scale
Residual deviance
5.7 for 6 data points
DIC
11.4 (pD 5.6)
Largest R-hat
1.001
Smallest ESS
bulk 4,026, tail 3,897
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)

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.

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.

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.
  • NoteOutcome assessment, time point: selected time points span 24 to 31 weeks
  • NoteOutcome assessment, analysis set: mixed: randomized 1, safety 2
  • NoteData handling, input conversions: nonserious_only 4
Comparability items per trial
Trialtime weeksanalysis setdefinitioninstrumentadjudicatedproportion methodintercurrent events (discontinuation)intercurrent events (rescue)blindingfundingstart yearEligibility
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
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
NCT01620489A1LIRA_SC_1p8MG_QD27arm, events8 / 140nonserious_onlyregistry:adverse_events
NCT01620489A2PLACEBO27arm, events2 / 139nonserious_onlyregistry:adverse_events
PIONEER 5A1SEMA_PO_14MG_QD31arm, events19 / 163nonserious_onlyregistry:adverse_events
PIONEER 5A2PLACEBO31arm, events6 / 161nonserious_onlyregistry:adverse_events
S002858A1LIXI_SC_20UG_QD24arm, events2 / 51R0001573:Supplement Table S1
S002858A2PLACEBO24arm, events1 / 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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