Evaluation of Stool Frequency and Stool Form as Measures of HIV-Related Diarrhea
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: In the highly active antiretroviral therapy (HAART) era, HIV-related diarrhea remains common. Our aim was to evaluate stool frequency and form as measures of HIV-related diarrhea. METHOD: Forty-eight HIV-infected persons with self-reported diarrhea were studied. In Analysis 1, self-reported retrospective and 7-day prospective measurement of stool frequency and form were compared using Spearman's correlation coefficient. In Analysis 2, diarrhea was measured during two 8-hour study periods in a subgroup (n = 20) using stool weight (Wt), diarrhea symptom score (Sx Score), stool frequency (SP-freq), and stool form using the Bristol Stool Form Scale (SP-BSFS). SP-freq and SP-BSFS were modeled alone and in combination to predict Wt and Sx Score. RESULTS: In Analysis 1, correlation between measures of stool frequency was rs = 0.62 (p < .0001) but was rs = 0.16 (p = .26) between measures of stool form. In Analysis 2, the two-predictor model best predicted Wt, whereas the model using SP-freq only performed as well as the two-predictor model to predict Sx Score. CONCLUSION: Prospective measurement of stool frequency performed well; in some situations, it may be used alone to measure severity of HIV-related diarrhea. Our findings may be used to design more rigorous clinical trials in HIV.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.037 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it