Evidence map›Paper›PMID 36400521›Full record

ReviewThe Indian journal of tuberculosis2022

Challenges of diabetes in elderly TB patients.

M V Jali, Apsara Kavital, M B Hiremath

Open access · greenAbstract readReview
In one paragraph

Review in The Indian journal of tuberculosis, 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
0.6field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Risk Factors for Tuberculosis in Elderly: Prevalence and Population-attributable Risk.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

3 authors at 2 institutions in 1 country.

M V JaliKLES Diabetes Centre, KLES Dr Prabhakar Kore Hospital & J N Medical College KLE Academy of Higher Education & Research (Deemed-To-Be-University), Belagavi, 590010, India. Electronic address: drmvjali@gmail.com.
Apsara KavitalDepartment of Biotechnology & Microbiology, Karnatak University, Dharwad, India.
M B HiremathDepartment of Biotechnology & Microbiology, Karnatak University, Dharwad, India.
Karnatak University · INKLE University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) and tuberculosis (TB) are worldwide health burdens post-COVID-19. TB is the second-leading cause of death by a single infectious microbe. There is much evidence around the world about the responsibility of TB-DM co-morbidity. Both TB and DM prevalence is high in low- and middle-income countries. Especially the elderly with diabetes are more prone to TB infection due to compromised immune systems. Diabetic patients are three times as likely to develop tuberculosis as non-diabetic patients. DM interferes with the status of TB and leads to undesirable outcomes in the treatment of TB. This may later lead to the development of multidrug-resistant tuberculosis (MDR-TB). The coexistence of TB and DM leads to a high mortality rate and therefore becomes an enormous challenge for the medical field. This viewpoint includes the most current information about TB and DM, disease complications, treatment strategies, challenges to be faced in disease management and the importance of TB-DM bidirectional screening in older adults, which helps in early detection and better treatment programme.

Indexed as

COVID-19Diabetes MellitusTuberculosisTuberculosis, Multidrug-ResistantAgedComorbidityHumansAgeing populationDiabetes mellitusMulti-resistant tuberculosis (MDR-TB)Mycobacterium tuberculosisPrevalenceTuberculosis

Identifiers

PMID36400521
PMCPMC9613800
OpenAlexW4307457998

What OpenQuestion holds

Textmetadata
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.