Evidence map›Paper›PMID 41111605›Full record

ReviewEuropean cardiology2025

Meta-analysis and Meta-regression for Uncertain Areas and the Estimation of Possible Benefit of Future Therapies.

Alberto Cordero, Carlos G Santos-Gallego, Armando Oterino, Moises Rodriguez-Mañero, Rosa Fernández-Olmo, Antonio J Quesada

Abstract readReview
In one paragraph

Review in European cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

6 authors.

Alberto CorderoCardiology Department, Hospital Universitario de San Juan Alicante, Spain.ORCID https://orcid.org/0000-0003-0000-7109
Carlos G Santos-GallegoMount Sinai School of Medicine New York, US.ORCID https://orcid.org/0000-0003-1408-8958
Armando OterinoCardiology Department, Hospital San Pedro de Alcántara Cáceres, Spain.ORCID https://orcid.org/0000-0003-1506-5555
Moises Rodriguez-MañeroCentro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV) Madrid, Spain.
Rosa Fernández-OlmoCardiology Department, Hospital Universitario Virgen del Rocio Seville, Spain.
Antonio J QuesadaGrupo de Investigación Cardiovascular (GRINCAVA), Universidad Miguel Hernández Elche, Spain.ORCID https://orcid.org/0000-0002-3280-8819

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meta-analysis and meta-regression are feasible and reliable statistical tools to assess the joint effect of divergent studies and studies that were underpowered or in uncertain areas. Meta-analysis should be performed accurately and have a clear objective. Conclusions of meta-analyses should not rely on small numbers of events and should not tell what is already known or obscure what should be remembered; similarly, those that rely on indirect comparison should be cautiously interpreted. New aspects of meta-analyses include analysis of subgroups, multivariate adjustment, assessment of bias or network meta-analyses. Meta-regression can elucidate the effect on variables predicted according to the results of previously available studies and can be adjusted for one or more explanatory variables that might influence the size of intervention effect. This has also been used for the estimation of the effect of novel therapies. This review summarises current knowledge related to metaanalysis and meta-regression with published examples.

Indexed as

Meta-analysismeta-regressionstatistics

Identifiers

PMID41111605
PMCPMC12532166

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.