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Record W2187097264 · doi:10.4269/ajtmh.2007.76.718

DIARRHEAL DISEASE AMONG HIV-INFECTED ADULTS IN KARNATAKA, INDIA: EVALUATION OF RISK FACTORS AND ETIOLOGY

2007· article· en· W2187097264 on OpenAlexaff
Marissa Becker, Craig R. Cohen, Mary Cheang, Reynold Washington, James Blanchard, Stephen Moses

Bibliographic record

VenueAmerican Journal of Tropical Medicine and Hygiene · 2007
Typearticle
Languageen
FieldMedicine
TopicPneumocystis jirovecii pneumonia detection and treatment
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsDiarrheaMedicineCiprofloxacinInternal medicineTrimethoprimSulfamethoxazoleEtiologyTraveler's diarrheaImmunologyAntibioticsGastroenterologyMicrobiologyBiology

Abstract

fetched live from OpenAlex

The objectives of this study were to evaluate characteristics associated with diarrhea, the effect of trimethoprim-sulfamethoxazole (TMP/SMX) prophylaxis on diarrhea, the response to treatment with ciprofloxacin and tinidazole (Cipro-TZ), and presence of enteric pathogens. Adults infected with human immunodeficiency virus with and without diarrhea served as cases and controls, respectively. Participants provided a medical history and underwent a physical examination. Blood was collected for CD4 cell counts and stool for culture. Cases were treated with Cipro-TZ. Factors associated with a risk of diarrhea included crowded living and no toilet (all P < 0.05). Protective variables (P < 0.05) included a CD4 count greater than 200 cells/mm(3) and TMP/SMX prophylaxis. Cases were more likely to have a pathogen identified (P = 0.05). Eighty-six percent of the cases responded to treatment. Important risk factors for diarrhea were identified. Protection by TMP/SMX reinforces the importance of prophylaxis. These data suggest that treatment with an antibiotic and anti-parasitic medication may be effective.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.292
Teacher spread0.280 · 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

Citations15
Published2007
Admission routes1
Has abstractyes

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