Evidence map›Paper›PMID 30065615›Full record

ArticleCurrent genomics2018

Impact of p53 arg72pro SNP on Breast Cancer Risk in North Indian Population.

Naseem Akhter, Sajad A Dar, Shilpi Chattopadhyay, Shafiul Haque, Razique Anwer, Mohd Wahid, Arshad Jawed, Mohtashim Lohani, Raju K Mandal, N K Shukla and 2 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 22% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Association ofBiomedicines · 2023
    Article
  4. Article
  5. 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

12 authors at 5 institutions in 3 countries.

Naseem AkhterDepartment of Laboratory Medicine, Faculty of Applied Medical Sciences, Albaha University, Albaha, Saudi Arabia.
Sajad A DarResearch and Scientific Studies Unit, College of Nursing & Allied Health Sciences, Jazan University, Jazan-45142, Saudi Arabia.
Shilpi ChattopadhyayDepartment of Biosciences, Faculty of Natural Sciences, Jamia Millia Islamia (A Central University), New Delhi-110025, India.
Shafiul HaqueDepartment of Biosciences, Faculty of Natural Sciences, Jamia Millia Islamia (A Central University), New Delhi-110025, India.
Razique AnwerDepartment of Anatomy, College of Medicine, Al Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia.
Mohd WahidDepartment of Biosciences, Faculty of Natural Sciences, Jamia Millia Islamia (A Central University), New Delhi-110025, India.
Arshad JawedResearch and Scientific Studies Unit, College of Nursing & Allied Health Sciences, Jazan University, Jazan-45142, Saudi Arabia.
Mohtashim LohaniResearch and Scientific Studies Unit, College of Nursing & Allied Health Sciences, Jazan University, Jazan-45142, Saudi Arabia.
Raju K MandalResearch and Scientific Studies Unit, College of Nursing & Allied Health Sciences, Jazan University, Jazan-45142, Saudi Arabia.
N K Shukla
Yasir Abdul
Syed Akhtar HusainDepartment of Biosciences, Faculty of Natural Sciences, Jamia Millia Islamia (A Central University), New Delhi-110025, India.
Jamia Millia Islamia · INJazan University · SAAll India Institute of Medical Sciences · INAugusta University · USImam Mohammad ibn Saud Islamic University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic changes in p53 gene contribute to breast cancer susceptibility. OBJECTIVE AND

methodsA case-control study and a meta-analysis were performed to investigate the role of p53 codon72 SNP with breast cancer susceptibility in Indian women.

resultsp53 heterozygous arginine variant was associated with decreased risk of breast cancer in total cohort. In meta-analysis, Allelic and GG vs. CC genetic comparison model were found to be associated with breast cancer risk. Moreover, recessive comparison model indicated a protective correlation with breast cancer occurrence.

conclusionThe findings of our case-control study and meta-analysis suggest a significant association between p53 Arg72Pro polymorphism and an increased risk of breast cancer in Indian population.

Indexed as

Breast cancerCase-controlIndian populationsMeta-analysisp53 Arg72Pro polymorphismp53 codon72 SNP

Identifiers

PMID30065615
PMCPMC6030857
OpenAlexW2774354016

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.