Evidence map›Paper›PMID 37750132›Full record

ReviewCureus2023

Impact on Tuberculosis Notification During COVID-19 Pandemic in India: A Narrative Review.

Sweta Sahu, Nikhilesh Nagtode

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2023. 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
1.0field-weighted citation impact, top 26% of its field
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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Awareness and Implementation Challenges of Tuberculosis Preventive Treatment among Public Health Providers in Kerala, India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

2 authors at 1 institution in 1 country.

Sweta SahuEpidemiology and Public Health, Datta Meghe Institute of Higher Education & Research, Wardha, IND.
Nikhilesh NagtodeCommunity Medicine, Datta Meghe Institute of Higher Education & Research, Wardha, IND.
Datta Meghe Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various programs are being weakened due to the COVID-19 pandemic, and the tuberculosis (TB) program is no exception. TB case detection and notification is one of the worst affected areas. The study aims to assess India's TB reporting status during this pandemic and find possible solutions. Data analysis has been obtained from the India TB notification open-source database. Relevant literature research has been done to determine the measures based on various efforts made by different Indian states. There was a review of all TB notifications in 2019, 2020, and 2021 and a deficiency in notifications. Between 2019 and 2021, the country's TB notification ratio experienced a significant adaptation. In 2020, all states reported a decline in private and public TB case reports. In the nation, only a few private TB notifications were lost. In April 2020, there were the fewest notifications, which began to decline in February 2020. When states began implementing cutting-edge programs like the Integrated TB COVID Case Search and Active Case Finding (ACF), the notification trend improved in May 2020. The notifications of TB cases decreased significantly due to the present COVID-19 pandemic, which has consequences for the disease's stealthy spread throughout homes and communities. However, the situation may be better with an integrated strategy for managing TB-COVID cases.

Indexed as

covid-19ctd(central tb division)health services in indianikshay portaltb notification

Identifiers

PMID37750132
PMCPMC10518063
OpenAlexW4386163454

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.