Evidence map›Paper›PMID 39484261›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Appraisal of the causal effect of

Sarah L Perrott, Siddhartha P Kar

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Microorganisms · 2026
    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

2 authors.

Sarah L PerrottCambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom.
Siddhartha P KarCambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom.ORCID 0000-0002-2314-1426

Funding

Common biology underlying pleiotropic breast, prostate and ovarian cancer risk lociR01CA259058 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI MATTHEW L FREEDMAN, Simon Andrew Gayther · 2022 to 2026
$2.5M
NCI NIH HHS R01 CA259058
6 · The paper itself

Abstract

Background: History of Methods: MR analyses employed genetic associations derived from UK Biobank as proxies for momp D seropositivity in 25 509 EOC cases and 40 941 controls that participated in the Ovarian Cancer Association Consortium. Findings were replicated using a GWAS meta-analyses of global biobanks including the UK Biobank, FinnGen and BioBank Japan. Results: Genetically predicted momp D seropositivity was associated with overall and high-grade serous EOC risk in inverse-variance weighted (IVW) and MR-Egger univariable MR analysis (odds ratio (OR) 1.06; 95% confidence interval (CI) 1.02-1.10, and OR 1.08; 95%CI 1.01-1.16, respectively). Replication yielded similar results for overall EOC (OR 1.11; 95%CI 1.01-1.22). Conclusion: This MR study supports a causative link between

Identifiers

PMID39484261
PMCPMC11527080

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.