SynthesisJournal of diabetes investigation2016
Efficacy of canagliflozin combined with antidiabetic drugs in treating type 2 diabetes mellitus: Meta-analysis of randomized control trials.
Synthesis in Journal of diabetes investigation, 2016. The graph read 1 number from its abstract, feeding 1 cell of the map: it supports the treatment in 1. Cited by 3 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
Compared with the placebo, mean changes in glycosylated hemoglobin were -0.60% (95% confidence interval -0.67 to -0.54%; I (2) = 0%) for canagliflozin 100 mg, and -0.76% (95% confidence interval -0.84 to -0.68%; I (2) = 20%) for canagliflozin 300 mg with bodyweight loss.
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Where it lands on the map
Rows are treatments, columns are outcomes. The coloured squares are the cells this paper feeds, coloured by the vote it casts there. Click one to jump to what this paper adds to it.
What it adds to each cell
For every cell the paper feeds: the belief in the claim with and without this paper, and this paper's estimate drawn against every other readable study in the cell. The ringed dot is this paper.
SGLT2 inhibitors×glycemic control
SupportsOpen on the map →What to test next →40 readable studies in this cell: 81 favour the treatment, 11 find no difference, 4 favour the comparator.
This paper's own estimate is on a different scale from the rest of the cell, so it is not drawn here.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 3 syntheses or guidelines pooled it, 7 citations in OpenAlex.
- Effectiveness and safety of ertugliflozin for type 2 diabetes: A meta-analysis of data from randomized controlled trials.Journal of diabetes investigation · 2022Pooled it
- Pooled it
- Efficacy of canagliflozin combined with antidiabetic drugs in treating type 2 diabetes mellitus: Meta-analysis of randomized control trials.Journal of diabetes investigation · 2016 · on this mapPooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The marked sentences are the ones the graph read a number from.
AIMS/
introductionCanagliflozin has been proposed as an effective treatment for type 2 diabetes. This meta-analysis of randomized control trials aimed to evaluate the effect of canagliflozin combined with other hypoglycemic drugs. MATERIALS AND
methodsWe searched Medline, Embase, Cochrane Library, Google Scholar and ClinicalTrials.gov for randomized control trials comparing canagliflozin combined with conventional antidiabetic drugs vs placebo. Our main end-points were glycemic control and change in weight. We assessed pooled data by use of a random-effects model.
resultOf 161 identified studies, six were eligible and were included in our analysis (n = 4670 participants). Compared with the placebo, mean changes in glycosylated hemoglobin were -0.60% (95% confidence interval -0.67 to -0.54%; I (2) = 0%) for canagliflozin 100 mg, and -0.76% (95% confidence interval -0.84 to -0.68%; I (2) = 20%) for canagliflozin 300 mg with bodyweight loss.
conclusionCanagliflozin as an add-on drug to other antidiabetic drugs effectively lowers blood glucose without significant weight gain.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.