Evidence map›Paper›PMID 39754630›Full record

ArticleRadiology and oncology2025

Investigation of

Durr-E-Shahwar, Hina Zubair, Muhammad Kashif Raza, Zahid Khan, Lamjed Mansour, Aktar Ali, Muhammad Imran

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology and oncology, 2025. 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

7 authors.

Durr-E-Shahwar1Biochemistry Section, Institute of Chemical Sciences, University of Peshawar, Peshawar, Pakistan.
Hina Zubair1Biochemistry Section, Institute of Chemical Sciences, University of Peshawar, Peshawar, Pakistan.
Muhammad Kashif Raza1Biochemistry Section, Institute of Chemical Sciences, University of Peshawar, Peshawar, Pakistan.
Zahid Khan1Biochemistry Section, Institute of Chemical Sciences, University of Peshawar, Peshawar, Pakistan.
Lamjed Mansour3Department of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Aktar Ali4Biological Screening Core, Warren Family Center for Drug Discovery, University of Notre Dame, Notre Dame, United States.
Muhammad Imran1Biochemistry Section, Institute of Chemical Sciences, University of Peshawar, Peshawar, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study investigates the association of single nucleotide polymorphism in glutathione S transferase P1 (rs1695 and rs1138272) and phosphatase and TENsin homolog (rs701848 and rs2735343) with the risk of colorectal cancer (CRC). PATIENTS AND

methodsIn this case-control study, 250 healthy controls and 200 CRC patients were enrolled. All subjects were divided into 3 groups: healthy control, patients, and overall (control + patients). Genotyping was performed using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). The demographic information, including age, gender, location, smoking status, cancer stage, and node involvement, were collected.

resultsThe allele frequencies of

conclusionsBoth SNPs of

Indexed as

Colorectal NeoplasmsGenetic Predisposition to DiseaseGlutathione S-Transferase piPolymorphism, Single NucleotidePTEN PhosphohydrolaseAdultAgedCase-Control StudiesFemaleGene FrequencyGenotypeHumansMaleMiddle AgedRisk FactorsGlutathione S-Transferase piGSTP1 protein, humanPTEN PhosphohydrolasePTEN protein, humancolorectal cancerGSTP1PCR-RFLPpolymorphismPTEN

Identifiers

PMID39754630
PMCPMC11867568

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.