Evidence map›Paper›PMID 41641423›Full record

ReviewIndian journal of surgical oncology2026

From

Mufaddal Kazi

Abstract readReview
In one paragraph

Review in Indian journal of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

1 author.

Mufaddal KaziDepartment of Surgical Oncology, Tata Memorial Hospital and Advanced Centre for Treatment Research, and Education, Homi Bhabha National Institute, Navi Mumbai, 410210 India.ORCID 0000-0002-3295-0006

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalent method for synthesizing evidence from multiple studies is the frequentist meta-analysis, which relies on assumptions of long-term frequencies and does not directly address the probability of hypotheses. In contrast, the Bayesian meta-analysis provides a framework that integrates prior knowledge with observed data, offering a more nuanced interpretation. This study aims to compare the outputs and interpretations of frequentist and Bayesian meta-analyses using published trials on colorectal anastomosis as examples. Two previously published meta-analyses on colorectal anastomosis-one evaluating trans-anastomotic tubes (TAT) and the other indocyanine green (ICG) fluorescence imaging-were reanalysed using frequentist and Bayesian approaches. Sequential Bayesian analyses were also conducted, updating priors with each additional study. Results were presented using odds ratios (OR), confidence intervals (CI), credible intervals (CrI),

Indexed as

Bayes factorBayesianColorectalIndocyanine greenMeta-analysisTrans-anastomotic tubes

Identifiers

PMID41641423
PMCPMC12864634

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.