Evidence map›Paper›PMID 39618542›Full record

ArticleAfrican journal of infectious diseases2025

BACTERIAL AND FUNGAL INFECTIONS IN PULMONARY TUBERCULOSIS PATIENTS AND THE DRUG SENSITIVITY TEST PATTERNS.

Sinulingga Cita Pujiaty, Sinaga Bintang Yinke Magdalena, Siagian Parluhutan, Yunita Rina, Wahyuni Arlinda Sari

Abstract read
In one paragraph

Article in African journal of infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Sinulingga Cita PujiatyDepartment of Pulmonology and Respiratory Medicine, Faculty of Medicine, Universitas Sumatera Utara, Medan, North Sumatra, Indonesia.
Sinaga Bintang Yinke MagdalenaDepartment of Pulmonology and Respiratory Medicine, Faculty of Medicine, Universitas Sumatera Utara, Adam Malik Hospital, Medan, North Sumatra, Indonesia.
Siagian ParluhutanDepartment of Pulmonology and Respiratory Medicine, Faculty of Medicine, Universitas Sumatera Utara, Adam Malik Hospital, Medan, North Sumatra, Indonesia.
Yunita RinaDepartment of Microbiology, Faculty of Medicine, Universitas Sumatera Utara, Adam Malik Hospital, Medan, North Sumatra, Indonesia.
Wahyuni Arlinda SariDepartment of Community Medicine, Faculty of Medicine, Universitas Sumatera Utara, Medan, North Sumatra, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Other microbial infections in pulmonary tuberculosis (TB) patients pose significant challenges, complicating treatment outcomes and potentially increasing mortality rates. This study aims to characterize the bacterial and fungal infections profiles in pulmonary TB patients. Materials and Methods: A retrospective cross-sectional analysis was conducted at Adam Malik Hospital in Medan, Indonesia, from June 2020 to May 2022, involving inpatients diagnosed with drug-sensitive or drug-resistant TB. The data was analyzed from total sampling subjects based on medical records. Results: From 125 pulmonary TB patients, 64% had drug-sensitive TB (DS-TB) and 36% had drug-resistant TB (DR-TB), with the majority being male and underweight. Microbial analysis showed 33.6% (n=42) of the subjects exhibited bacterial growth, 8.8% (n=11) had fungal growth and 30.4% (n=38) had mixed infection. Of 80 DS-TB patients, 80% had bacterial and fungal infections compared to 60% of 45 DR-TB patients, with Conclusions: There is a considerable presence of bacterial and fungal infections, with

Indexed as

bacterial growthfungal growthmixed infectionsPulmonary tuberculosis

Identifiers

PMID39618542
PMCPMC11607787

What OpenQuestion holds

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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.