Evidence map›Paper›PMID 26956846›Full record

SynthesisEndocrine2016

The PPARγ2 P12A polymorphism is not associated with all-cause mortality in patients with type 2 diabetes mellitus.

Antonio Pacilli, Sabrina Prudente, Massimiliano Copetti, Andrea Fontana, Luana Mercuri, Simonetta Bacci, Antonella Marucci, Federica Alberico, Raffaella Viti, Antonio Palena and 4 more

Open access · greenAbstract readMeta-Analysis
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In one paragraph

Synthesis in Endocrine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from 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.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Antonio PacilliDepartment of Medical Sciences, Scientific Institute "Casa Sollievo della Sofferenza", San Giovanni Rotondo, FG, Italy.
Sabrina PrudenteMendel-Laboratory, Scientific Institute "Casa Sollievo della Sofferenza", San Giovanni Rotondo, FG, Italy.
Massimiliano CopettiUnit of Biostatistics, Scientific Institute "Casa Sollievo della Sofferenza", San Giovanni Rotondo, FG, Italy.
Andrea FontanaUnit of Biostatistics, Scientific Institute "Casa Sollievo della Sofferenza", San Giovanni Rotondo, FG, Italy.
Luana MercuriMendel-Laboratory, Scientific Institute "Casa Sollievo della Sofferenza", San Giovanni Rotondo, FG, Italy.
Simonetta BacciDepartment of Medical Sciences, Scientific Institute "Casa Sollievo della Sofferenza", San Giovanni Rotondo, FG, Italy.
Antonella MarucciResearch Unit of Diabetes and Endocrine Diseases, Scientific Institute "Casa Sollievo della Sofferenza", Viale Padre Pio, 71013, San Giovanni Rotondo, FG, Italy.
Federica AlbericoMendel-Laboratory, Scientific Institute "Casa Sollievo della Sofferenza", San Giovanni Rotondo, FG, Italy.
Raffaella VitiDepartment of Medical Sciences, Scientific Institute "Casa Sollievo della Sofferenza", San Giovanni Rotondo, FG, Italy.
Antonio PalenaDepartment of Medical Sciences, Scientific Institute "Casa Sollievo della Sofferenza", San Giovanni Rotondo, FG, Italy.
Olga LamacchiaUnit of Endocrinology and Metabolic Diseases, Department of Surgical and Medical Sciences, University of Foggia, Foggia, Italy.
Mauro CignarelliUnit of Endocrinology and Metabolic Diseases, Department of Surgical and Medical Sciences, University of Foggia, Foggia, Italy.
Salvatore De CosmoDepartment of Medical Sciences, Scientific Institute "Casa Sollievo della Sofferenza", San Giovanni Rotondo, FG, Italy.
Vincenzo TrischittaMendel-Laboratory, Scientific Institute "Casa Sollievo della Sofferenza", San Giovanni Rotondo, FG, Italy. vincenzo.trischitta@uniroma1.it.
Casa Sollievo della Sofferenza · ITUniversity of Foggia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high mortality risk of patients with type 2 diabetes mellitus may well be explained by the several comorbidities and/or complications. Also the intrinsic genetic component predisposing to diabetes might have a role in shaping the risk of diabetes-related mortality. Among type 2 diabetes mellitus SNPs, rs1801282 is of particular interest because (i) it is harbored by peroxisome proliferator-activated receptor-γ2 (PPARγ2), which is the target for thiazolidinediones which are used as antidiabetic drugs, decreasing all-cause mortality in type 2 diabetes mellitus, and (ii) it is associated with insulin resistance and related traits, risk factors for overall mortality in type 2 diabetes mellitus. We investigated the role of PPARγ2 P12A, according to a dominant model (PA + AA vs. PP individuals) on incident all-cause mortality in three cohorts of type 2 diabetes mellitus, comprising a total of 1672 patients (462 deaths) and then performed a meta-analysis of ours and all available published data. In the three cohorts pooled and analyzed together, no association between PPARγ2 P12A and all-cause mortality was observed (HR 1.02, 95 % CI 0.79-1.33). Similar results were observed after adjusting for age, sex, smoking habits, and BMI (HR 1.09, 95 % CI 0.83-1.43). In a meta-analysis of ours and all studies previously published (n = 3241 individuals; 666 events), no association was observed between PPARγ2 P12A and all-cause mortality (HR 1.07, 95 % CI 0.85-1.33). Results from our individual samples as well as from our meta-analysis suggest that the PPARγ2 P12A does not significantly affect all-cause mortality in patients with type 2 diabetes mellitus.

Indexed as

Polymorphism, Single NucleotideDiabetes Mellitus, Type 2Genetic Association StudiesGenetic Predisposition to DiseaseGenotypeHumansInsulin ResistancePhenotypePPAR gammaPPAR gammaOverall mortalityPPARγ2 P12A SNPRisk of deathType 2 diabetes

Identifiers

PMID26956846
OpenAlexW2294230843

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.