Evidence map›Paper›PMID 20051847›Full record

ReviewCurrent opinion in infectious diseases2010

Defining and predicting severe community-acquired pneumonia.

Samuel M Brown, Nathan C Dean

Abstract readReview
In one paragraph

Review in Current opinion in infectious diseases, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Urea-to-Albumin Ratio and In-Hospital Mortality in Severe Pneumonia Patients.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2021
    Article
  5. Review
  6. Article
  7. Defining severe pneumonia.Clinics in chest medicine · 2011
    Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Samuel M BrownDivision of Pulmonary and Critical Care Medicine, Intermountain Medical Center, University of Utah, Salt Lake City, Utah, USA. Samuel.Brown@imail.org
Nathan C Dean

Funding

UNIVERSITY OF UTAH CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCE-UL1: BPCAUL1RR025764 · NCRR · UNIVERSITY OF UTAH · PI MCCLAIN, DONALD A. · 2008 to 2011
$19.4M
Cardiovascular Variability and Control in Early SepsisK23GM094465 · NIGMS · IHC HEALTH SERVICES, INC. · PI BROWN, SAMUEL MORRIS · 2010 to 2014
$637k
NCRR NIH HHS UL1 RR025764NCRR NIH HHS UL1-RR025764NIGMS NIH HHS K23 GM094465
6 · The paper itself

Abstract

purpose of reviewCommunity-acquired pneumonia is a significant clinical and public health problem. Defining and predicting severe pneumonia is difficult but important. RECENT

findingsSeveral new predictive models and more sophisticated approaches to describing pneumonia severity have been recently proposed, with subsequent validation in varied patient populations. Early data suggest that biomarkers may be useful in the future. SUMMARY: Definitions of pneumonia severity depend on the relevant clinical or public health question. A health services reference definition seems most useful in most settings. The Infectious Disease Society of America/American Thoracic Society 2007 guidelines and SMART-COP are two recent promising methods for predicting severe pneumonia at the time of presentation. The traditional pneumonia severity index and Confusion Uremia Respiratory rate Blood pressure (CURB)-65 models are less useful. Accurate assessment of severity has important implications for triage, outcome, and defining populations for research applications. Novel biomarkers, while somewhat promising, do not yet have a validated role in pneumonia severity assessment.

Indexed as

Severity of Illness IndexCommunity-Acquired InfectionsHumansPneumoniaPrognosisBiomarkersCommunity-Acquired PneumoniaPrognostic ModelsSeverity Assessment

Identifiers

PMID20051847
PMCPMC2875269

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.