Evidence mapPaperPMID 42078124Full record

ArticleTherapeutics and clinical risk management2026

rs10010131A in

Khaled Naja, Asma A Elashi, Laila Hedaya, Najeha Rizwana Anwardeen, Mashael Al-Shafai, Manfredi Rizzo, Mohamed A Elrayess

Abstract read
In one paragraph

Article in Therapeutics and clinical risk management, 2026. 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
field-weighted citation impact
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.

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

7 authors.

Khaled Naja *Biomedical Research Center, QU Health, Qatar University, Doha, Qatar.ORCID 0000-0001-9259-3082
Asma A Elashi *Biomedical Research Center, QU Health, Qatar University, Doha, Qatar.
Laila HedayaBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.ORCID 0000-0001-5136-9746
Najeha Rizwana AnwardeenBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.ORCID 0000-0002-7263-4905
Mashael Al-ShafaiBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.
Manfredi RizzoSchool of Medicine, Promise Department, University of Palermo, Palermo, Italy.ORCID 0000-0002-9549-8504
Mohamed A ElrayessBiomedical Research Center, QU Health, Qatar University, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Sodium-glucose cotransporter 2 inhibitors (SGLT2i) are effective agents for type 2 diabetes (T2D) management, yet interindividual variability in response mechanisms remains unclear. This study examined genetic interactions influencing clinical and biochemical outcomes among SGLT2i treated patients. Methods: Data from 13,808 Qatar Biobank participants were analyzed, including 207 propensity score-matched T2D patients stratified into three groups: SGLT2i-treated, metformin monotherapy, and drug-naïve. Significant clinical traits across groups were further assessed for genotype effects within SGLT2i treated patients. Results: Compared with both comparators, SGLT2i-treated individuals showed elevated serum urea (FDR < 0.05). Genetic analysis identified an association between the Discussion: These findings suggest a novel pharmacogenetic interaction between WFS1 rs10010131 and urea regulation under SGLT2i therapy. The observed effect could likely reflect a genotype-related renal adaptive response rather than dysfunction, emphasizing the potential of pharmacogenomic profiling to enhance precision treatment for T2D.

Indexed as

metforminpharmacogenomicssodium-glucose cotransporter 2 inhibitorstype 2 diabetesureawolframin

Identifiers

PMID42078124
PMCPMC13135346

What Socratic 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 Socratic graph.