Evidence map›Paper›PMID 35869450›Full record

ArticleBMC infectious diseases2022

Epidemiology of recurrent pulmonary tuberculosis by bacteriological features of 100 million residents in China.

Hui Jiang, Jinfeng Yin, Fangchao Liu, Yuxia Yao, Chao Cai, Jiying Xu, Lijun Zheng, Chendi Zhu, Junnan Jia, Xu Gao and 3 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Endogenous reactivation cases identified by whole genome sequencing ofJournal of clinical tuberculosis and other mycobacterial diseases · 2024
    Article
  4. 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

13 authors.

Hui Jiang *Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
Jinfeng Yin *Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
Fangchao LiuBeijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
Yuxia YaoInstitute of Tuberculosis Control and Prevention, Henan Center for Disease Control and Prevention, Henan, 450016, China.
Chao CaiBeijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Jiying XuInstitute of Tuberculosis Control and Prevention, Henan Center for Disease Control and Prevention, Henan, 450016, China.
Lijun ZhengBeijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
Chendi ZhuBeijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
Junnan JiaBeijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
Xu Gao *School of Public Health, Peking University, Beijing, 100191, China. xu.gao@hsc.pku.edu.cn.
Wangli Xu *School of Statistics, Renmin University of China, Beijing, 100872, China. wlxu@ruc.edu.cn.
Weimin Li *Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China. lwm_18@aliyun.com.
Guolong Zhang *Institute of Tuberculosis Control and Prevention, Henan Center for Disease Control and Prevention, Henan, 450016, China. 1296190445@qq.com.

Funding

Beijing Municipal Natural Science Foundation Z200001National Key Research and Development Program 2018YFC2000300National Natural Science Foundation of China U1903118National Science and Technology Major Project of China 2018ZX10302 302001004
6 · The paper itself

Abstract

backgroundRecurrence continues to place significant burden on patients and tuberculosis programmes worldwide, and previous studies have rarely provided analysis in negative recurrence cases. We characterized the epidemiological features of recurrent pulmonary tuberculosis (PTB) patients, estimated its probability associated with different bacteriology results and risk factors.

methodsUsing 2005-2018 provincial surveillance data from Henan, China, where the permanent population approximately were 100 million, we described the epidemiological and bacteriological features of recurrent PTB. The Kaplan-Meier method and Cox proportional hazard models, respectively, were used to estimate probability of recurrent PTB and risk factors.

resultsA total of 7143 (1.5%) PTB patients had recurrence, and of 21.1% were bacteriological positive on both laboratory tests (positive-positive), and of 34.9% were negative-negative. Compared with bacteriological negative recurrent PTB at first episodes, the bacteriological positive cases were more male (81.70% vs 72.79%; P < 0.001), higher mortality risk (1.78% vs 0.92%; P = 0.003), lower proportion of cured or completed treatment (82.81% vs 84.97%; P = 0.022), and longer time from onset to end-of-treatment. The probability of recurrence was higher in bacteriological positive cases than those in bacteriological negative cases (0.5% vs 0.4% at 20 months; P < 0.05).

conclusionsBased on patient's epidemiological characteristics and bacteriological type, it was necessary to actively enact measures to control their recurrent.

Indexed as

TuberculosisTuberculosis, PulmonaryChinaHumansMaleProportional Hazards ModelsRisk FactorsClinical diagnosedPulmonary tuberculosisRecurrenceRisk factors

Identifiers

PMID35869450
PMCPMC9308209

What OpenQuestion holds

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LicenceCC BY
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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.