MétaCan
Menu
← Back to cohort
Record W2418026269

Latent tuberculosis infection, its treatment, and the control and elimination of tuberculosis.

2002· editorial· en· W2418026269 on OpenAlexaboutno aff
Donald A. Enarson

Bibliographic record

VenuePubMed · 2002
Typeeditorial
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTuberculosisLatent tuberculosisDiseaseIntervention (counseling)Intensive care medicinePopulationPublic healthImmunologyMycobacterium tuberculosisEnvironmental healthPsychiatryPathology
DOInot available

Abstract

fetched live from OpenAlex

Eliminating tuberculosis should be a high priority for public health practice for several reasons: it represents a massive burden global health in terms of costs; it is transmitted through the air we breathe, putting everyone at risk; and we have tools that are effective in targeting our activities [1]. Getting rid of latent infection must be a key component of any strategy aimed at the elimination of tuberculosis, since the largest burden of the causative microorganisms are carried by the high proportion of the world's population that is infected but does not (yet) have disease. This is particularly crucial because the microorganisms can cause a reactivation of disease, as well as potential new infection of others, many decades after the individual carrying the microorganisms has become infected. There is no question that the intervention ± i.e., medical therapy of latent tuberculosis infection ± is efficacious [2]. Moreover, the objective of screening and of offering the intervention has great merit and meets the criteria of aiming to detect unrecognized disease or its precursors in order that measures can be taken that will prevent or delay the development of disease or improve the prognosis [3], as well as the ethical requirements for implementation [4]. In this issue of IMAJ, the article by Bibi and colleagues [5] on the compliance with drug therapy for latent tuberculosis infection touches on the key issue in considering the role of this intervention in the control, and elimination, of tuberculosis. Even if the intervention is efficacious and relatively safe, it cannot hope have an impact on reducing the burden of disease unless it is applied a large proportion of the target group. The study reports that in only 16% of the probable actual number of infected individuals (taking into account those who did not complete the examination) was the intervention applied fully (i.e., the course of treatment was completed). The main reason for this low figure was the fact that many did not return for a further examination after being informed that they had a significant reaction the tuberculin skin test. A closer examination of this figure shows that in one of the highest risk groups (children born in other locations who had a high prevalence of significant skin reactions), only 5.5% of probable infected individuals completed the treatment. This low rate of adherence might reflect the fact that the screening was undertaken in a general population that did not have prior knowledge or reason be concerned about the disease. However, even in locations where health services are highly focused on encouraging participation and adherence the intervention, and where the individuals being examined are likely be aware of and concerned about the risk (e.g., contact with cases of active tuberculosis), the rate of completion of treatment remains low. In the Province of Alberta, Canada, a routine report of treatment outcome offered contacts revealed that the rate of completion of treatment among those detected have a significant reaction the tuberculin test was only 24% [6]. Even this is not sufficient have an epidemiologic impact. This is not even the whole story. In undertaking screening and preventive interventions for individuals who are not ill, it is important that the intervention itself not cause more harm than is prevented by the intervention. In an analysis of screening groups at risk of tuberculosis, we evaluated the probability of developing disease (and of developing the most infectious form, smear-positive pulmonary tuberculosis) in three groups that were required undergo routine screening examinations ± immigrants with and without radiographic evidence of healed tuberculosis, and healthcare workers [7]. We determined that in order prevent a single case of smear-positive pulmonary tuberculosis it would be necessary treat 30 immigrants who had a scar on their chest X-ray, 278 immigrants from high prevalence countries with normal chest X-rays, and 651 healthcare professionals. The cost of this intervention can be calculated in terms of potential toxicity [8]. In the groups evaluated, it was estimated that one of these adults would die of hepatitis for every 11 cases prevented in nurses, or every 233 cases prevented in immigrants with scars. Admittedly, these figures are not particularly relevant for the children in the study reported here by Bibi et al., but they do have relevance for the recommendations concerning rather aggressive treatment of latent tuberculosis infection among immigrants that are currently being proposed [9]. For all health-related activities, it is essential maintain a

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.005
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0060.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.276
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2002
Admission routes1
Has abstractyes

Explore more

Same venuePubMed→Same topicTuberculosis Research and Epidemiology→French-language works237,207→