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A Systematic Review of the Clinical Significance of Pulmonary Mycobacterium kansasii Isolates in HIV Infection

2004· review· en· W2019578071 on OpenAlexaff
Theodore K. Marras, Charles L. Daley

Bibliographic record

VenueJAIDS Journal of Acquired Immune Deficiency Syndromes · 2004
Typereview
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsUniversity of TorontoToronto Western Hospital
Fundersnot available
KeywordsMycobacterium kansasiiMedicineContext (archaeology)Internal medicineDiseaseSidaHuman immunodeficiency virus (HIV)ImmunologySurgeryViral diseaseTuberculosisPathologyMycobacteriumBiology

Abstract

fetched live from OpenAlex

Guidelines recommend treating HIV-infected patients with pulmonary Mycobacterium kansasii infection only in the presence of multiple positive cultures and clinical and radiographic abnormalities. Some authors suggest a single positive culture warrants treatment. A systematic literature review was done to determine whether HIV-infected patients who had M. kansasii isolated from respiratory specimens may have an indolent infection (often referred to as colonization) not requiring treatment and to determine the utility of diagnostic criteria in distinguishing disease from indolent infection. Sixteen studies were included, with at least 573 patients: mean age 44 years; 91% male; 64% men who had sex with men; 35% injection drug users; and median CD4 lymphocyte count of 2-381 cells/microL. The median rate of indolent infection was 8%. Of the few patients who did not satisfy diagnostic criteria and were left untreated, outcomes were generally favorable. Overall, survival was longer in treated patients (mean 12 vs. 4 months). Indolent pulmonary infection with M. kansasii may exist in the setting of HIV, but published data do not provide adequate information to identify such patients. It is unclear whether unfulfilled diagnostic criteria necessarily imply the absence of disease in this context.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0080.003
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.360
Teacher spread0.317 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations33
Published2004
Admission routes1
Has abstractyes

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