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Record W1989594939 · doi:10.1136/jnnp.68.3.289

Neurological aspects of tropical disease: Tuberculous meningitis

2000· review· en· W1989594939 on OpenAlexaff
Guy Thwaites

Bibliographic record

VenueJournal of Neurology Neurosurgery & Psychiatry · 2000
Typereview
Languageen
FieldMedicine
TopicInfectious Diseases and Tuberculosis
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsTuberculous meningitisTropical diseaseDiseaseMeningitisMedicinePediatricsPathology

Abstract

fetched live from OpenAlex

Uncertainty and doubt dominate all aspects of tuberculous meningitis (TBM).The variable natural history and accompanying clinical features of TBM hinders the diagnosis.Ziehl-Neelsen staining lacks sensitivity and culture results are often insuYciently timely to aid clinical judgement.New rapid diagnostic methods are incompletely evaluated, and many are not suitable for laboratories in low income countries.The duration of chemotherapy for TBM is unclear and the benefits of adjuvant corticosteroids remain in doubt.The only uncomfortable certainties lie in the fatal consequences of missed diagnoses and delayed treatment.This review will discuss the current uncertainties surrounding TBM.More attention will be given to diagnosis and management, as these areas have a direct bearing on patient outcome. EpidemiologyAbout 2000 million people in the world today are infected with tuberculosis, 1 but only 10% develop clinical disease.Why some people develop clinical disease remains unclear.The reasons are likely to be multifactorial: inherent not just to the individual person, but to their given population and environment.Before HIV the most important determinant for the development of TBM was age.In populations with high TB prevalence TBM diVers from pulmonary, and other extrapulmonary tuberculosis, in that the peak age is from 0-4 years. 2 In populations with lower TB prevalence, most cases of TBM are in adults.Risk factors identified for these people are alcoholism, diabetes mellitus, malignancy, and recent corticosteroid use.[3][4][5] Coinfection with HIV now dwarfs these risk factors.HIV increases the lifetime risk of developing clinical TB postinfection to 1 in 3. 6 HIV also predisposes to the development of extrapulmonary TB, and in particular TBM, 7 a risk which increases as the CD4 count declines.8 The disease constitutes either reactivation of latent infection, or new infection.Evidence from DNA fingerprinting of strains using restriction fragment length polymorphism suggests that in the United States up to 40% of new disease in both HIV positive and non-HIV patients is due to recent infection.9 10 The extent to which a person's genetic constitution eVects resistance or susceptibility to

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.021
GPT teacher head0.300
Teacher spread0.279 · 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 designNot applicable
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

Citations273
Published2000
Admission routes1
Has abstractyes

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