Evidence map›Paper›PMID 29932073›Full record

SynthesisJournal of genetics2018

Meta-analysis of genetic polymorphisms in xenobiotic metabolizing enzymes and their association with breast cancer risk.

Tajamul Hussain, Salman Alrokayan, Upadhyay Upasna, Manickam Pavithrakumari, Jaganathan Jayapriya, Vijay Kumar Kutala, Shaik Mohammad Naushad

Abstract readMeta-Analysis
PubMed
In one paragraph

Synthesis in Journal of genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

7 authors at 3 institutions in 2 countries.

Tajamul HussainCenter of Excellence in Biotechnology Research King Saud University Riyadh Saudi Arabia. naushadsm@gmail.com.
Salman Alrokayan
Upadhyay Upasna
Manickam Pavithrakumari
Jaganathan Jayapriya
Vijay Kumar Kutala
Shaik Mohammad Naushad
King Saud University · SASASTRA University · INNizam's Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies on the association of cytochrome p450 A1 (m1, m2), catechol-O-methyltransferase (COMT) H108L, glutathione S-transferase (GST) T1 and M1 polymorphisms with breast cancer risk were inconclusive. The current study was aimed to clarify the ambiguity in genetic associations of these enzymes with breast cancer risk on a global perspective. A systematic literature search was carried out in PubMed, Google Scholar and Medline, covering all the case-control studies published until September 2017. A meta-analysis was performed based on the random-effect and fixed-effect models to calculate the overall association of each genetic variant with breast cancer risk. Of the five polymorphisms studied, GSTT1 (OR: 1.07, 95% CI: 1.02-1.12 and OR: 1.08, 95% CI: 1.01-1.15 for fixed-effect and random-effect models, respectively) and GSTM1 (OR: 1.22, 95% CI: 1.17-1.26 and OR: 1.25, 95% CI: 1.12-1.35 for fixed-effect and random-effect models, respectively) null polymorphisms exhibited an increased risk for breast cancer in both the models. Cochrane Q-test and I² statistics revealed heterogeneity in association with these polymorphisms (

Indexed as

Polymorphism, GeneticBreast NeoplasmsCase-Control StudiesCatechol O-MethyltransferaseCytochrome P-450 CYP1A1FemaleGenetic Predisposition to DiseaseGlutathione TransferaseHumansRisk FactorsXenobioticsCatechol O-MethyltransferaseCytochrome P-450 CYP1A1glutathione S-transferase T1Glutathione TransferaseXenobiotics

Identifiers

PMID29932073
OpenAlexW2807880986

What OpenQuestion holds

Textmetadata
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.