RESEARCH Open Access Health-related quality of life and tuberculosis: a longitudinal cohort study
Bibliographic record
Abstract
Background: Active tuberculosis (TB) disease can impose substantial morbidity, while treatment for latent TB infection (LTBI) has frequent side effects. We compared health-related quality of life (HRQOL) between persons diagnosed and treated for TB disease, persons treated for LTBI, and persons screened but not treated for TB disease or LTBI, over one year following diagnosis/initial assessment. Methods: Participants were recruited at two hospitals in Montreal (2008–2011), and completed the Short Form-36 version 2 (SF-36) at baseline, and at 1, 2, 4, 6, 9, and 12 months thereafter. Eight domain scores and physical and mental component summary (PCS and MCS, respectively) scores were calculated from responses. Linear mixed models were used to compare mean scores at each evaluation and changes in scores over consecutive evaluations, among participants treated for TB disease and those treated for LTBI, each compared to the control group. Results: Of the 263 participants, 48 were treated for TB disease, 105 for LTBI, and 110 were control participants. Fifty-four percent were women, mean age was 35 years, and 90 % were foreign-born. Participants treated for TB disease reported significantly worse mean scores at baseline compared to control participants (mean PCS scores: 50.0 vs. 50.7; mean MCS scores: 46.4 vs. 51.1), with improvement in mean MCS scores throughout the study period. Scores reported by participants treated for LTBI and control participants were comparable throughout the study. Conclusion: TB disease is associated with decrements in HRQOL as measured by the SF-36. This is most pronounced during the weeks after diagnosis and treatment initiation, but is no longer evident after two months.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".