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Record W2011867843 · doi:10.1055/s-0032-1315642

Community-Acquired Pneumonia Guidelines: A Global Perspective

2012· article· en· W2011867843 on OpenAlexaboutno aff
Michael S. Niederman, Carlos M. Luna

Bibliographic record

VenueSeminars in Respiratory and Critical Care Medicine · 2012
Typearticle
Languageen
FieldMedicine
TopicPneumonia and Respiratory Infections
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIntensive care medicineCommunity-acquired pneumoniaPneumonia

Abstract

fetched live from OpenAlex

Community-acquired pneumonia (CAP) is a common cause of morbidity and mortality worldwide, and since 1993, guidelines for management have been available. The process, which first began in the United States and Canada, has now been implemented in numerous countries throughout the world, and often each geographic region or country develops locally specific recommendations. It is interesting to realize that guidelines from different regions often interpret the same evidence base differently, and guidelines differ from one country to another, even though the bacteriology of CAP is often more similar than different from one region to another. One of the unique contributions of the 2007 US guidelines is the inclusion of quality and performance measures. In addition, US guidelines emphasize management principles that differ from some of the principles in European guidelines because of unique epidemiological considerations. In addition, certain therapy principles apply in the United States that differ from those in other regions, including the need for all patients to receive routine therapy for atypical pathogens, the emergence of community-acquired methicillin-resistant Staphylococcus aureus in some patients following influenza, and the need for all patients admitted to the intensive care unit to receive at least two antimicrobial agents. In the future, as guidelines evolve, there will be an important place for regional guidelines, particularly if these guidelines can recommend locally specific strategies to implement guidelines, which if successful, can lead to improved patient outcomes.

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)0.019
metaresearch head score (Gemma)0.044
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: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.044
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.009
Science and technology studies0.0010.002
Scholarly communication0.0050.006
Open science0.0030.003
Research integrity0.0130.010
Insufficient payload (model declined to judge)0.0060.002

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 head0.077
GPT teacher head0.419
Teacher spread0.343 · 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

Citations40
Published2012
Admission routes1
Has abstractyes

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