Evidence map›Paper›PMID 37626661›Full record

ArticleBiomedicines2023

Pharmacometabolomic Approach to Investigate the Response to Metformin in Patients with Type 2 Diabetes: A Cross-Sectional Study.

Khaled Naja, Najeha Anwardeen, Moustafa Al-Hariri, Asmaa A Al Thani, Mohamed A Elrayess

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. N-Lactoyl Amino Acids: Emerging Biomarkers in Metabolism and Disease.Diabetes/metabolism research and reviews · 2025
    Review
  7. Article
  8. Review
  9. Observational
  10. Pharmacometabolomics of sulfonylureas in patients with type 2 diabetes: a cross-sectional study.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2024
    Article
  11. Review
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

5 authors at 1 institution in 1 country.

Khaled NajaBiomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar.
Najeha AnwardeenBiomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar.ORCID 0000-0002-7263-4905
Moustafa Al-HaririQU Health, Qatar University, Doha P.O. Box 2713, Qatar.
Asmaa A Al ThaniBiomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar.
Mohamed A ElrayessBiomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar.ORCID 0000-0003-3803-4604
Qatar University · QA

Funding

Qatar National Research Fund NPRP13S-1230-190008
6 · The paper itself

Abstract

Metformin constitutes the foundation therapy in type 2 diabetes (T2D). Despite its multiple beneficial effects and widespread use, there is considerable inter-individual variability in response to metformin. Our objective is to identify metabolic signatures associated with poor and good responses to metformin, which may improve our ability to predict outcomes for metformin treatment. In this cross-sectional study, clinical and metabolic data for 119 patients with type 2 diabetes taking metformin were collected from the Qatar Biobank. Patients were empirically dichotomized according to their HbA

Indexed as

metabolic signaturesmetforminpersonalized medicineresponse variabilitytype 2 diabetes

Identifiers

PMID37626661
PMCPMC10452592
OpenAlexW4385446752

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.