Evidence map›Paper›PMID 41262992›Full record

ArticleCurrent health sciences journal

Basic and Descriptive Spectrum of Tuberculosis in a Large Cohort of Hospitalized Patients.

Ioan Anton Arghir, Iulia Tania Andronache, Ileana Ion

Abstract read
In one paragraph

Article in Current health sciences journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Ioan Anton ArghirDoctoral Medicine School of the Ovidius University of Constanta, Romania.
Iulia Tania AndronacheInternal Medicine Department of Constanta Military Hospital, Constanta.
Ileana IonDoctoral Medicine School of the Ovidius University of Constanta, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After 143 years from the discovery of Koch bacillus, the natural history of tuberculosis (TB) is characterized by heterogeneity and gaps of staging defining. The aim of the study consists in assessing the prevalence and characteristics of TB stages, from infection to disease, from acute to chronic disease, among inpatients of Constanta Clinical Pneumophthisiology Hospital. A cross sectional 8-year study, performed, from January 2017 to March 2025, among 630 inpatients, mean aged 58.23 years+/-13.812 std dev, mostly men (n=436; 69.2%) and smokers (n=414; 65.71%), enrolled with a positive diagnosis of TB infection (75 cases, based on positive QuantiFERON TB Gold Plus, 4% progressive forms), or disease (424 infectious, 410 new cases and 178 relapses, 35 multi drug resistant, 17 with mono or poly drug resistance). Subclinical TB was significantly more infectiousness than clinical forms (p=0.000). Active TB disease is characterized by delayed diagnosis (58.57%) and advanced extensive cavitary lesions (73.17%). Post treated lung TB disease (PTLD) occurred in 74.91% of cases, after a mean interval of almost 17 years (205.68 months+/-214.00 std dev), calculating from the first episode of treated TB disease. TB mortality rate was 16.66%o. In conclusion, landscaping tuberculosis' new stages is very complex and challenging. TB infection and subclinical TB are intricated through progressive forms of infection. PTLD must be considered a part of the basic triangle of TB spectrum, standing near infection and active disease, states in a continuous dynamic relation, overlapping through reinfections and relapses, causing PTLD and death.

Indexed as

clinical tuberculosispost tuberculosis chronic lung diseaseSpectrum of tuberculosissubclinical tuberculosistuberculosis infection

Identifiers

PMID41262992
PMCPMC12625789

What OpenQuestion holds

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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 OpenQuestion graph.