Evidence map›Paper›PMID 26775263›Full record

ArticleBMC public health2016

Determinants of multidrug-resistant tuberculosis in Henan province in China: a case control study.

Chunxiao Zhang, Yongliang Wang, Guangcan Shi, Wei Han, Huayang Zhao, Huiqiang Zhang, Xiue Xi

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Factors associated with screening failure and study withdrawal in multidrug-resistant TB.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2022
    Trial
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  9. Review
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  12. Determinants of Multidrug-ResistantInfection and drug resistance · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Drug-resistant tuberculosis: an experience from Qatar.The Libyan journal of medicine · 2020
    Article
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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 1 institution in 1 country.

Chunxiao ZhangDepartment of Tuberculosis, the First Hospital Affiliated to the Xinxiang Medical College, No. 88 Jiankang Road, Weihui, 453100, Henan, China.
Yongliang WangDepartment of Tuberculosis, the First Hospital Affiliated to the Xinxiang Medical College, No. 88 Jiankang Road, Weihui, 453100, Henan, China.
Guangcan ShiDepartment of Tuberculosis, the First Hospital Affiliated to the Xinxiang Medical College, No. 88 Jiankang Road, Weihui, 453100, Henan, China.
Wei HanDepartment of Tuberculosis, the First Hospital Affiliated to the Xinxiang Medical College, No. 88 Jiankang Road, Weihui, 453100, Henan, China.
Huayang ZhaoDepartment of Tuberculosis, the First Hospital Affiliated to the Xinxiang Medical College, No. 88 Jiankang Road, Weihui, 453100, Henan, China.
Huiqiang ZhangDepartment of Tuberculosis, the First Hospital Affiliated to the Xinxiang Medical College, No. 88 Jiankang Road, Weihui, 453100, Henan, China.
Xiue XiDepartment of Tuberculosis, the First Hospital Affiliated to the Xinxiang Medical College, No. 88 Jiankang Road, Weihui, 453100, Henan, China. xixiue@outlook.com.
First Affiliated Hospital of Xinxiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMulti-drug resistance (MDR) has been a cause of concern for tuberculosis (TB) control in both developed and developing countries. This study described the characteristics and risk factors associated with MDR-TB among 287 cases and 291 controls in Henan province, China.

methodsA hospital-based case-control study was conducted between June 2012 and December 2013. The study subjects were selected using multistage probability sampling. Multivariate conditional logistic regression models were used to determine the risk factors associated with MDR-TB.

resultsThe following risk factors for MDR-TB were identified: previous TB treatment (AOR = 4.51, 95% CI: 3.55-5.56), male sex (AOR = 1.09, 95% CI: 0.24-1.88), high school or lower education degree (AOR = 1.87, 95% CI: 1.27-2.69), unemployment (AOR = 1.30, 95% CI: 0.78-2.52), long distance of residence from the health facility (AOR = 6.66,95% CI: 5.92-7.72), smoking (AOR = 2.07, 95% CI: 1.66-3.19), poor knowledge regarding MDR-TB (AOR = 2.06, 95% CI: 1.66-2.92), traveling by foot to reach the health facility (AOR = 1.85, 95% CI: 1.12-3.09), estimated amount of time to reach the health facility was greater than 3 h (AOR = 1.42, 95% CI: 0.51-2.35), social stigma (AOR = 1.17, 95% CI: 0.27-2.03), having an opportunistic infection (AOR = 1.45, 95% CI: 0.58-2.4), more than 3 TB foci in the lungs (AOR = 1.98, 95% CI: 1.49-3.25), total time of first treatment was more than 8 months (AOR = 1.39, 95% CI: 0.65-2.54), adverse effects of anti-TB medication (AOR = 2.39, 95% CI: 1.40-3.26), and more than 3 prior episodes of anti-TB treatment (AOR = 1.83, 95% CI: 1.26-2.80).

conclusionThe identified risk factors should be given priority in TB control programs. Additionally, there is a compelling need for better management and control of MDR-TB, particularly through increasing laboratory capacity, regular screening, enhancing drug sensitivity testing, novel MDR-TB drug regimens, and adherence to medication.

Indexed as

AdultCase-Control StudiesChinaDeveloping CountriesFemaleHealth Services AccessibilityHumansLogistic ModelsMaleMiddle AgedRisk FactorsSex FactorsSmokingSocial StigmaSocioeconomic FactorsTuberculosis, Multidrug-Resistant

Identifiers

PMID26775263
PMCPMC4715352
OpenAlexW2268651842

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.