Evidence map›Paper›PMID 20084488›Full record

SynthesisEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2010

Does gram-negative bacteraemia occur without endotoxaemia? A meta-analysis using hierarchical summary ROC curves.

J C Hurley

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 36% of its field
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 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
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

1 author at 1 institution in 1 country.

J C HurleySchool of Rural Health, University of Melbourne, Shepparton, VIC, Australia. jamesh@bhs.org.au
University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The limulus assay for endotoxin has been studied as a method for the rapid identification of gram-negative (GN) bacteraemia. The chromogenic (C-limulus) version is 100-fold more sensitive to an internal endotoxin standard than the earlier gelation version (G-limulus). The objective of this analysis is to compare the concordance between GN bacteraemia and endotoxaemia as determined in clinical studies using either version of the limulus assay. The summary results for the diagnostic odds ratio (DOR), sensitivity and specificity were derived using a hierarchical summary receiver operating characteristic (HSROC) method of meta-analysis. Fifty-eight studies (25 G-limulus and 33 C-limulus) were included. Surprisingly, the mean DOR (4.9; 3-7.9 versus 10.7; 5.2-21.8) was inferior for studies using the C-limulus versus the original G-limulus version of the assay. Moreover, among studies limited to sepsis syndrome patients, the mean DOR remains poor at 4.2 (1.8-9.5). The proportion of GN bacteraemic patients for whom endotoxaemia is not detectable with either version of the limulus assay is >20% among the 58 studies overall, but >30% after the exclusion of studies with <25 patients and >20% among studies of patients with sepsis syndrome. These findings help to reconcile seemingly disparate study results.

Indexed as

EndotoxemiaGram-Negative Bacterial InfectionsHumansLimulus TestStatistics as Topic

Identifiers

PMID20084488
OpenAlexW1979904892

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.