Evidence map›Paper›PMID 36426288›Full record

ArticleChina CDC weekly2022

Predictors for Treatment Outcomes in Patients with Multi-drug Resistant Tuberculosis - China, 2018-2020.

Shunxian Zhang, Lei Qiu, Dingzhong Wu, Shaoyan Zhang, Chenhui Pan, Cui Li, Heping Xiao, Fuli Huang, Hua Wang, Feng Jiang and 3 more

Abstract read
In one paragraph

Article in China CDC weekly, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

13 authors.

Shunxian ZhangLonghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Lei QiuLonghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Dingzhong WuLonghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Shaoyan ZhangLonghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Chenhui PanLonghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Cui LiLonghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Heping XiaoThe Lung Hospital Affiliated to Tongji University, Shanghai, China.
Fuli HuangChongqing Infections Disease of Medical Center, Nanjing City, Jiangsu Province, China.
Hua WangAnhui Chest Hospital, Hefei City, Anhui Province, China.
Feng JiangDongzhimen Hospital Beijing University of Chinese Medicine, Beijing, China.
Huiyong ZhangLonghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Peiyong ZhengLonghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Zhenhui LuLonghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Multi-drug resistant tuberculosis (MDR-TB) is a critical global public health problem. What is added by this report?: Sputum cultures and lung images show a strong association with treatment outcomes, serving as a multi-dimensional approach to identify MDR-TB patients with poor outcomes. What are the implications for public health practice?: The results imply that funds and policy investments should be increased by early monitoring of MDR-TB patients, especially regarding imaging and sputum bacterium. By informing physicians on changes to the therapeutic schedule, treatment outcomes can be improved.

Indexed as

Multi-drug ResistantTreatment OutcomesTuberculosis

Identifiers

PMID36426288
PMCPMC9681604

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.