Evidence map›Paper›PMID 30583293›Full record

SynthesisMedical principles and practice : international journal of the Kuwait University, Health Science Centre2019

A Meta-Analysis on the Relationship Between Hair Dye and the Incidence of Non-Hodgkin's Lymphoma.

Ling Qin, Hui-Yang Deng, Sheng-Jiang Chen, Wei Wei

Abstract readMeta-Analysis
In one paragraph

Synthesis in Medical principles and practice : international journal of the Kuwait University, Health Science Centre, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Epidemiology beyond its limits.Science advances · 2022
    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

4 authors.

Ling QinDepartment of Hematology, The First Affiliated Hospital and College of Clinical Medicine, Henan University of Science and Technology, Luoyang, China, qinling880923@sina.com.
Hui-Yang DengDepartment of Hematology, The First Affiliated Hospital and College of Clinical Medicine, Henan University of Science and Technology, Luoyang, China.
Sheng-Jiang ChenDepartment of Ultrasound, The First Affiliated Hospital and College of Clinical Medicine, Henan University of Science and Technology, Luoyang, China.
Wei WeiDepartment of Hematology, The First Affiliated Hospital and College of Clinical Medicine, Henan University of Science and Technology, Luoyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidemiologic studies have suggested hair dye to be a risk factor for many cancers. However, previous studies on the association between the personal use of hair dye and risk of non-Hodgkin's lymphoma (NHL) have been inconclusive.

methodsThe PubMed, Embase, Cochrane Library, and Web of Science databases, as well as the references cited in included studies, were searched for relevant studies up to February 10, 2015. Odds ratios (OR) with 95% confidence intervals (CI) were applied to assess the strength of the association. Publication bias was evaluated using a funnel plot by Egger's and Begg's tests.

resultsA total of 16 studies were included in the analysis, including 13 case-control studies and 3 cohort studies. The present meta-analysis results revealed that the risk of NHL in a high population of hair dye users was 14% (OR 1.14, 95% CI 1.01-1.29). Furthermore, individuals who used more than 20 pack-years of hair dye had increased risk of NHL.

conclusionThe outcomes indicate that hair dye use increases the risk of NHL, especially for females. Hence, people who frequently use hair dyes or have been using hair dyes for more than 20 years should minimize their exposure to hair dye products to prevent the risk of NHL.

Indexed as

Hair DyesDose-Response Relationship, DrugHumansIncidenceLymphoma, Non-HodgkinOdds RatioResidence CharacteristicsRisk FactorsSex FactorsHair DyesHair dyeMeta-analysisNon-Hodgkin’s lymphoma

Identifiers

PMID30583293
PMCPMC6597908

What OpenQuestion holds

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Registered trials

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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.