Evidence map›Paper›PMID 39221187›Full record

ArticleInfection and drug resistance2024

Treatment Outcomes and Associated Influencing Factors Among Patients with Rifampicin-Resistant Tuberculosis: A Multicenter, Retrospective, Cohort Study in China.

Liping Zou, Wanli Kang, Chunhui Guo, Juan Du, Qing Chen, Zhengyu Shi, Xianzhen Tang, Li Liang, Peijun Tang, Qing Pan and 6 more

Abstract read
In one paragraph

Article in Infection and drug resistance, 2024. 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.

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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

16 authors.

Liping Zou *Department of Tuberculosis, Public Health Clinical Center of Chengdu, Chengdu, People's Republic of China.
Wanli Kang *Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People's Republic of China.
Chunhui Guo *Department of Tuberculosis, Harbin Chest Hospital, Harbin, People's Republic of China.
Juan Du *Department of Tuberculosis, Wuhan Pulmonary Hotel, Wuhan, People's Republic of China.
Qing ChenDepartment of Tuberculosis, Public Health Clinical Center of Chengdu, Chengdu, People's Republic of China.
Zhengyu ShiDepartment of Tuberculosis, Public Health Clinical Center of Chengdu, Chengdu, People's Republic of China.
Xianzhen TangDepartment of Tuberculosis, Public Health Clinical Center of Chengdu, Chengdu, People's Republic of China.
Li LiangDepartment of Tuberculosis, Public Health Clinical Center of Chengdu, Chengdu, People's Republic of China.
Peijun TangDepartment of Tuberculosis, the Fifth People's Hospital of Suzhou, Suzhou, People's Republic of China.
Qing PanDepartment of Respiratory and Critical Care Medicine, Anqing Municipal Hospital, Anqing, People's Republic of China.
Qingdong ZhuDepartment of Tuberculosis, the Fourth People's Hospital of Nanning, Nanning, People's Republic of China.
Song YangGeneral Internal Medicine Department, Chongqing Public Health Medical Center, Chongqing, People's Republic of China.
Zhanlin ChangDepartment of Surgery, the Third People's Hospital of Tibet Autonomous Region, Lasa, People's Republic of China.
Zhouli GuoDepartment of Tuberculosis, Public Health Clinical Center of Chengdu, Chengdu, People's Republic of China.
Guihui WuDepartment of Tuberculosis, Public Health Clinical Center of Chengdu, Chengdu, People's Republic of China.
Shenjie TangBeijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People's Republic of China.ORCID 0000-0002-9131-4165

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Rifampin-resistant tuberculosis (RR-TB) remains a serious global public health concern. We assessed treatment outcomes and associated influencing factors among RR-TB patients in China. Methods: This research enrolled 1339 patients who started RR-TB treatment between May 2018 and April 2020 in China retrospectively. Data were collected from the electronic medical records. Multivariable logistic regression analysis was used to identify the influencing factors related to unfavorable outcomes. Results: Of the 1339 RR-TB patients, 78.8% (1055/1339) achieved treatment success (cured or treatment completed), 5.1% (68/1339) experienced treatment failure, 1.1% (15/1339) died during treatment, 10.1% (135/1339) were lost to follow-up, and 4.9% (66/1339) were not evaluated. About 67.7% (907/1339) of patients experienced at least one adverse event (AE). The most common AE was hypohepatia (507/1339, 37.9%), followed by hyperuricemia (429/1339, 32.0%), anemia (368/1339, 27.5%), electrolyte disturbance (318/1339, 23.7%), peripheral neuritis (245/1339, 18.3%), and gastrointestinal reactions (203/1339, 15.2%). Multivariate analysis showed that age ≥60 years [adjusted odds ratio (aOR): 1.96, 95% confidence interval (CI): 1.39-2.77], national minority (aOR: 2.36, 95% CI: 1.42-3.93), smoking (aOR: 1.50, 95% CI: 1.10-2.04), cardiopathy (aOR: 2.90, 95% CI: 1.33-6.31), tumors (aOR: 9.84, 95% CI: 2.27-42.67), immunocompromise (aOR: 2.17, 95% CI: 1.21-3.91), re-treated TB (aOR: 1.46, 95% CI: 1.08-1.97), and experienced gastrointestinal reactions (aOR: 2.27, 95% CI: 1.52-3.40) were associated with unfavorable outcomes. Body mass index (BMI) ≥18.5 kg/m Conclusion: High rates of treatment success were achieved for RR-TB patients at tertiary tuberculosis hospitals in China. Age ≥60 years, national minority, smoking status, comorbidities, re-treated TB, and experienced gastrointestinal reactions were independent prognostic factors for unfavorable treatment outcomes.

Indexed as

Chinainfluencing factorsRR-TBtreatment outcomes

Identifiers

PMID39221187
PMCPMC11366237

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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.