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Record W195638935

Pulmonary Mycobacterium xenopi infection in non-HIV-infected patients: a systematic review.

2009· review· en· W195638935 on OpenAlexaff
Robert Varadi, Theodore K. Marras

Bibliographic record

VenuePubMed · 2009
Typereview
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineRegimenInternal medicineTuberculosisIncidence (geometry)CoinfectionConfoundingMycobacterium tuberculosisLung infectionIntensive care medicineHuman immunodeficiency virus (HIV)LungImmunologyPathology
DOInot available

Abstract

fetched live from OpenAlex

SETTING: The incidence of Mycobacterium xenopi infections is increasing worldwide. The characteristics and optimal management of patients with pulmonary M. xenopi infections have not been well established. METHODS: Systematic review of English- and French-language studies reporting at least two cases of microbiologically confirmed M. xenopi lung infection. Studies were independently reviewed by two reviewers. We described the risk factors and clinical presentation of advanced infection, and examined the impact on clinical success and mortality of including individual antimycobacterial drugs in the treatment regimen. RESULTS: A total of 48 studies reporting on 1255 subjects were included. The majority were retrospective case series. There was marked heterogeneity among the studies. Patients were generally middle-aged men with a history of obstructive lung disease or prior tuberculosis, presenting with an upper lobe cavitary infection. There was no clear association between administration of particular drugs and clinical success or mortality. CONCLUSION: We could not demonstrate any advantage of specific drugs in the treatment of pulmonary M.xenopi infection. Observations from the pooled data are likely subject to significant confounding and selection biases. The inability to make firm conclusions on the optimal management of this increasingly common infection strongly underscores the need for further research.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.239
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.026
GPT teacher head0.300
Teacher spread0.274 · 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

Citations46
Published2009
Admission routes1
Has abstractyes

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