Evidence map›Paper›PMID 35668860›Full record

ArticleInfection and drug resistance2022

Time-to-Disability Determinants Among Leprosy Patients Enrolled for Treatment at ALERT Center, Addis Ababa, Ethiopia: A Survival Analysis.

Bezanesh Melese Masresha, Hailegebrael Birhan Biresaw, Yikeber Abebaw Moyehodie, Solomon Sisay Mulugeta

Abstract read
In one paragraph

Article in Infection and drug resistance, 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Observational
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Bezanesh Melese MasreshaDepartment of Statistics, Debre Tabor University, Debre Tabor, Amhara, Ethiopia.
Hailegebrael Birhan BiresawDepartment of Statistics, Debre Tabor University, Debre Tabor, Amhara, Ethiopia.ORCID 0000-0001-7488-3668
Yikeber Abebaw MoyehodieDepartment of Statistics, Debre Tabor University, Debre Tabor, Amhara, Ethiopia.ORCID 0000-0001-9275-8705
Solomon Sisay MulugetaDepartment of Statistics, Debre Tabor University, Debre Tabor, Amhara, Ethiopia.ORCID 0000-0002-7263-9634

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: This study's survival analysis includes a sample of 205 patients who were taking leprosy medication and had all essential data from January 2015 to December 2019 G.C. at the All African TB and Leprosy Rehabilitation and Training Centre. The Cox proportional hazard model was used to figure out what factors influence leprosy patients' survival status during treatment. Results: Among the 205 leprosy patients, 71 (34.63%) had at least one type of impairment grade during treatment. The Cox proportional model revealed that the most significant variables of impairment among leprosy patients were age, symptom duration, treatment category, living place, and sensory loss. Conclusion: The study investigated and revealed characteristics associated with the survival status of leprosy patients in ALRT centers using survival analysis. Patients' risk of worsening disability grade increased with age, was greater for patients with a long duration of symptom, was higher for defaulter patients, and was lower for patients who did not lose their sensibility throughout therapy. The existence of a difference in the survival curves between two or more groups of factors for the patient's survival function was also discovered in this inquiry. Female patients, particularly those who were new to the medication, were shown to be more in their survival.

Indexed as

Cox proportional modeldisabilitysurvival analysis

Identifiers

PMID35668860
PMCPMC9166622

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