Evidence mapPaperPMID 36771314Full record

SynthesisNutrients2023

Medicines for Obesity: Appraisal of Clinical Studies with Grading of Recommendations, Assessment, Development, and Evaluation Tool.

Eleni A Karavia, Panagiota C Giannopoulou, Vassiliki Konstantinopoulou, Katerina Athanasopoulou, Theodosios D Filippatos, Demosthenes Panagiotakos, Kyriakos E Kypreos

Abstract readSystematic Review
In one paragraph

Synthesis in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Analysis of inequities between demographic and social determinants associated with overweight and obesity.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2025
    Article
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.

Eleni A KaraviaPharmacology Laboratory, Department of Medicine, University of Patras School of Health Sciences, Patras 26504, Greece.
Panagiota C GiannopoulouPharmacology Laboratory, Department of Medicine, University of Patras School of Health Sciences, Patras 26504, Greece.
Vassiliki KonstantinopoulouPharmacology Laboratory, Department of Medicine, University of Patras School of Health Sciences, Patras 26504, Greece.
Katerina AthanasopoulouPharmacology Laboratory, Department of Medicine, University of Patras School of Health Sciences, Patras 26504, Greece.
Theodosios D FilippatosDepartment of Internal Medicine, School of Medicine, University of Crete, Heraklion 71500, Greece.ORCID 0000-0002-1713-0923
Demosthenes PanagiotakosSchool of Health Sciences and Education, Harokopio University, Athens 17676, Greece.ORCID 0000-0001-8583-153X
Kyriakos E KypreosPharmacology Laboratory, Department of Medicine, University of Patras School of Health Sciences, Patras 26504, Greece.ORCID 0000-0001-6784-2710

Funding

NSRF 2014-2020 INSPIRED MIS#5002550
6 · The paper itself

Abstract

We evaluated the quality of evidence from phase III/IV clinical trials of drugs against obesity using the principles of Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) tool. Our systematic review evaluates the quality of clinical evidence from existing clinical trials and not the pharmacological efficacy of anti-obesity therapies. A literature search using select keywords in separate was performed in PubMed and ClinicalTrials.gov databases for phase III/IV clinical trials during the last ten years. Our findings indicate that the quality of existing clinical evidence from anti-obesity trials generally ranges from low to moderate. Most trials suffered from publication bias. Less frequently, trials suffered from the risk of bias mainly due to lack of blindness in the treatment. Our work indicates that additional higher-quality clinical trials are needed to gain more confidence in the estimate of the effect of currently used anti-obesity medicines, to allow more informed clinical decisions, thus reducing the risk of implementing potentially ineffective or even harmful therapeutic strategies.

Indexed as

ObesityClinical Trials as TopicHumansclinical evidenceclinical pharmacologyGRADE evaluationobesity

Identifiers

PMID36771314
PMCPMC9919203

What Socratic 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 Socratic graph.