Evidence map›Paper›PMID 28701180›Full record

ArticleSystematic reviews2017

Influence of genetic variants on toxicity to anti-tubercular agents: a systematic review and meta-analysis (protocol).

Marty Richardson, Jamie Kirkham, Kerry Dwan, Derek Sloan, Geraint Davies, Andrea Jorgensen

Open access · goldAbstract read
In one paragraph

Article in Systematic reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2019
    Pooled it
  2. Pooled it
  3. Article
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  7. 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

6 authors at 3 institutions in 1 country.

Marty RichardsonDepartment of Biostatistics, University of Liverpool, Whelan Building, Liverpool, L69 3GB, UK. mhr@liverpool.ac.uk.ORCID 0000-0002-7097-8704
Jamie KirkhamDepartment of Biostatistics, University of Liverpool, Whelan Building, Liverpool, L69 3GB, UK.
Kerry DwanCochrane Editorial Unit, London, SW1Y 4QX, UK.
Derek SloanSchool of Medicine, University of St Andrews, St. Andrews, KY16 9TF, UK.
Geraint DaviesDepartment of Clinical Infection, Microbiology and Immunology, University of Liverpool, Liverpool, L69 3GB, UK.
Andrea JorgensenDepartment of Biostatistics, University of Liverpool, Whelan Building, Liverpool, L69 3GB, UK.
University of Liverpool · GBCochrane · GBUniversity of St Andrews · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis patients receiving anti-tuberculosis treatment may experience serious adverse drug reactions, such as hepatotoxicity. Genetic risk factors, such as polymorphisms of the NAT2, CYP2E1 and GSTM1 genes, may increase the risk of experiencing such toxicity events. Many pharmacogenetic studies have investigated the association between genetic variants and anti-tuberculosis drug-related toxicity events, and several meta-analyses have synthesised data from these studies, although conclusions from these meta-analyses are conflicting. Many meta-analyses also have serious methodological limitations, such as applying restrictive inclusion criteria, or not assessing the quality of included studies. Most also only consider hepatotoxicity outcomes and specific genetic variants. The purpose of this systematic review and meta-analysis is to give a comprehensive evaluation of the evidence base for associations between any genetic variant and anti-tuberculosis drug-related toxicity.

methodsWe will search for studies in MEDLINE, EMBASE, BIOSIS and Web of Science. We will also hand search reference lists from relevant studies and contact experts in the field. We will include cohort studies, case-control studies and randomised controlled trials that recruited patients with tuberculosis who were either already established on anti-tuberculosis treatment or were commencing treatment and who were genotyped to investigate the effect of genetic variants on any anti-tuberculosis drug-related toxicity outcome. One author will screen abstracts to identify potentially relevant studies and will then obtain the full text for each potentially relevant study in order to assess eligibility. At each of these stages, a second author will independently screen/assess 10% of studies. Two authors will independently extract data and assess the quality of studies using a pre-piloted data extraction form. If appropriate, we will pool estimates of effect for each genotype on each outcome using meta-analyses stratified by ethnicity. DISCUSSION: Our review and meta-analysis will update and add to the existing research in this field. By not restricting the scope of the review to a specific drug, genetic variant, or toxicity outcome, we hope to synthesise data for associations between genetic variants and anti-tuberculosis drug-related toxicity outcomes that have previously not been summarised in systematic reviews, and consequently, add to the knowledge base of the pharmacogenetics of anti-tuberculosis drugs. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42017068448.

Indexed as

PharmacogeneticsAntitubercular AgentsHumansMeta-Analysis as TopicPolymorphism, GeneticSystematic Reviews as TopicTuberculosisAntitubercular AgentsMeta-analysisPharmacogeneticsToxicityTuberculosis

Identifiers

PMID28701180
PMCPMC5508765
OpenAlexW2735793368

What OpenQuestion 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 OpenQuestion graph.