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IMPACT OF SEASONAL FACTORS ON FREQUENCY OF TREATMENT INTERRUPTIONS IN TUBERCULOSIS PATIENTS

2016· article· en· W2744218588 on OpenAlexaboutno aff
И. М. Сон, С. А. Стерликов, A. V. Mordovin, A. V. Dergachev, Daria Kucheryavaya

Bibliographic record

VenueTuberculosis and lung diseases · 2016
Typearticle
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)MedicineSputumTuberculosisPulmonary tuberculosisPediatricsInternal medicine

Abstract

fetched live from OpenAlex

It has been hypothesized and investigated that seasonal factors provide impact on the treatment interruptions. Treatment outcomes of 19 923 new pulmonary tuberculosis cases with the positive result of sputum tests have been studied. Patients registered for treatment during the cold seasons (Quarters I, IV) interrupt treatment, including interruption of the intensive phase, rarer compared to the warm seasons (Quarters II, III). The least relative risk of treatment interruption is observed in the patients registered during Quarter IV compared to the other Quarters. Also chemotherapy was interrupted more often and patients migrated less when registered in Quarter III compared to the patients registered in Quarter II. The observed consistent pattern should be taken into account when planning measures aimed to increase patients' motivation for treatment adherence.

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)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.341
Teacher spread0.318 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2016
Admission routes1
Has abstractyes

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