Evidence map›Paper›PMID 37950303›Full record

ArticleDiabetology & metabolic syndrome2023

Genetic risk scores: are they important for diabetes management? results from multiple cross-sectional studies.

Sureka Nagarajah, Abdullah Alkandari, Pedro Marques-Vidal

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 28% of its field
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

3 authors at 2 institutions in 2 countries.

Sureka NagarajahDepartment of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Office BH10-642, 46 Rue du Bugnon, 1011, Lausanne, Switzerland.ORCID http://orcid.org/0000-0003-4836-8376
Abdullah AlkandariDasman Diabetes Institute, Kuwait City, Kuwait.ORCID http://orcid.org/0000-0002-9452-7000
Pedro Marques-VidalDepartment of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Office BH10-642, 46 Rue du Bugnon, 1011, Lausanne, Switzerland. Pedro-Manuel.Marques-Vidal@chuv.ch.ORCID http://orcid.org/0000-0002-4548-8500
University of Lausanne · CHDasman Diabetes Institute · KW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral genetic risk scores (GRS) for type 2 diabetes (T2DM) have been published, but not replicated. We aimed to 1) replicate previous findings on the association between GRS on prevalence of T2DM and 2) assess the association between GRS and T2DM management in a sample of community-dwelling people from Switzerland.

methodsFour waves from a prospective study conducted in Lausanne. Seven GRS related to T2DM were selected, and compared between participants with and without T2DM, and between controlled and uncontrolled participants treated for T2DM.

resultsData from 5426, 4017, 2873 and 2170 participants from the baseline, first, second and third follow-ups, respectively, was used. In all study periods, participants with T2DM scored higher than participants without T2DM in six out of seven GRS. Data from 367, 437, 285 and 207 participants with T2DM was used. In all study periods, approximately half of participants treated for T2DM did not achieve adequate fasting blood glucose or HbA

conclusionIn this study, we confirmed the association between most published GRS and diabetes. Conversely, no consistent association between GRS and diabetes control was found. Use of GRS to manage patients with T2DM in clinical practice is not justified.

Indexed as

ControlEpidemiologyGenetic risk scoresTreatmentType 2 diabetes

Identifiers

PMID37950303
PMCPMC10636836
OpenAlexW4388572116

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.