Evidence map›Paper›PMID 39687163›Full record

ArticleHeliyon2024

Predictors of poor treatment outcomes among drug-resistant tuberculosis patients in Hunan province, China.

Temesgen Yihunie Akalu, Archie C A Clements, Zuhui Xu, Liqiong Bai, Kefyalew Addis Alene

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Temesgen Yihunie AkaluSchool of Population Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia.
Archie C A ClementsGeospital and Tuberculosis Research Team, Telethon Kids Institute, Perth, Western Australia, Australia.
Zuhui XuXiangya School of Public Health, Central South University, Changsha, China.
Liqiong BaiTB Control Institute of Hunan Province, Changsha, China.
Kefyalew Addis AleneSchool of Population Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Drug-resistant tuberculosis (DR-TB) is a significant public health concern, often resulting in poor treatment outcomes. This study aims to identify predictors of poor treatment outcomes among patients with DR-TB in Hunan Province, China. Methods: A retrospective cohort study was conducted in Hunan Province using data collected between 2013 and 2018 among patients with DR-TB treatment. Univariable and multivariable parametric survival analyses were performed using a shared frailty survival model with a Weibull distribution and Gamma frailty to identify determinants of poor treatment outcomes. Adjusted hazard ratios (AHR) with a 95 % confidence interval (CI) were calculated for the best-fitted model. The goodness of fit for the model was assessed using the Cox-Snell residual test. Results: A total of 1384 bacteriologically confirmed DR-TB patients were included in the analysis. Of these, 9.97 % (95 % CI: 8.05-11.67 %) experienced poor treatment outcomes. The hazard of poor treatment outcomes was significantly higher among patients with a history of previous TB treatment compared to those with new TB (AHR = 1.82, 95 % CI: 1.27-2.61). Additionally, each one-day delay in diagnosis was associated with a slightly increased hazard of poor treatment outcomes (AHR = 1.00034, 95 % CI:1.000041-1.00064). Patients who received medication supervision and consistent treatment follow-up (i.e., systematic management) had a significantly lower hazard of poor treatment outcomes than those without systematic management (AHR = 0.08, 95 % CI: 0.05-0.14). Conclusion: A substantial proportion of DR-TB patients in Hunan Province experience poor treatment outcomes, with prior TB treatment and delays in diagnosis being key predictors. Early diagnosis and systematic management, including medication supervision and consistent follow-up, significantly reduce the risk of poor treatment outcomes. Focused interventions for previously treated TB cases are crucial to improving treatment outcomes and mitigating the risk of long-term physical sequelae among DR-TB survivors.

Indexed as

Drug-resistance tuberculosisHunan provincePoor treatment outcomes

Identifiers

PMID39687163
PMCPMC11648092

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.