Evidence map›Paper›PMID 39790781›Full record

ArticleJournal of family medicine and primary care2024

Temporal pattern and effect of COVID-19 on the trend of TB, DRTB, paediatrics TB and TB with HIV Coinfection: A decadal trend analysis.

Pushpendra Bairwa, Mahesh C Verma, Asha Kumari, Ajay Gupta, Yamini Singh

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Pushpendra BairwaDepartment of Community Medicine, Sawai Maan Singh Medical College Jaipur, Rajasthan, India.
Mahesh C VermaDepartment of Community Medicine, Sawai Maan Singh Medical College Jaipur, Rajasthan, India.
Asha KumariDepartment of Community Medicine, Sawai Maan Singh Medical College Jaipur, Rajasthan, India.
Ajay GuptaEIS Officer, Department of Epidemiology, National Centre for Disease Control, Delhi, India.
Yamini SinghDepartment of Community Medicine, Mahatma Gandhi Medical College, Jaipur, Rajasthan, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: India shares 2/3 of global TB burden. MDR and HIV coinfections are the main obstacle in achieving the successful TB control because it decrease the therapy effect. Objective: To analyze the long-term trends of incidence of tuberculosis cases and identify any differences between actual and projected cases after the COVID-19 pandemic. Methodology: A retrolective study was conducted in SMS medical college, Jaipur, and data were extracted from state TB cell and annual report published by central TB division. A multiplicative model was used for conducting time series analysis. The projected yearly number of cases were estimated using the line of best fit based on the least square method. Result: An increasing trend in the incidence of TB was observed, rising from 1,517,363 in 2008 to 2,404,815 in 2019. Similarly, DRTB also showed an increasing trend from 10,267 (0.67% of total new cases) in 2011 to 66,255 (2.75%) in 2019. The new cases of DRTB in 2020 were significantly lower than the projected number. The trend of HIV coinfection in TB cases fluctuated over the past decade. Conclusion: The findings reveal a concerning upward trajectory in TB incidence and DRTB cases over the decade. The fluctuating trend in HIV coinfection in TB cases emphasizes the complexity of addressing these interconnected health challenges.

Indexed as

COVID-19DRTBpaediatrics TBTBTB with HIV coinfection

Identifiers

PMID39790781
PMCPMC11709054

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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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 Socratic graph.