Evidence map›Paper›PMID 30626160›Full record

ReviewJournal of clinical medicine2019

qSOFA is a Poor Predictor of Short-Term Mortality in All Patients: A Systematic Review of 410,000 Patients.

Ronson S L Lo, Ling Yan Leung, Mikkel Brabrand, Chun Yu Yeung, Suet Yi Chan, Cherry C Y Lam, Kevin K C Hung, Colin A Graham

Registry-linked trialAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05296590 (Monocyte Distribution Width), which is not on this map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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.

NCT05296590 active not recruitingnot on this mapstarted 2021, after this paper: background citation

Monocyte Distribution Width (MDW) in the General Population of Emergency Department Patients With and Without Bacteremia

TypeobservationalSponsorHenry Ford Health SystemRan2021 to 2026Enrolled50,000ConditionsBacteremia, Bacteremia Sepsis, Sepsis, Septic ShockArmsMonocyte Distribution Width (MDW) , observation
3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Recent advances in early screening and diagnosis of sepsis: a narrative review.Frontiers in cellular and infection microbiology · 2026
    Review
  6. Observational
  7. Early Prediction of Septic Shock in Emergency Department Using Serum Metabolites.Journal of the American Society for Mass Spectrometry · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Observational
  20. Observational
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

8 authors.

Ronson S L LoAccident and Emergency Medicine Academic Unit, Chinese University of Hong Kong, Hong Kong, China. ronsonsllo@cuhk.edu.hk.ORCID 0000-0003-3822-4918
Ling Yan LeungAccident and Emergency Medicine Academic Unit, Chinese University of Hong Kong, Hong Kong, China. lingleung@cuhk.edu.hk.
Mikkel BrabrandAccident and Emergency Medicine Academic Unit, Chinese University of Hong Kong, Hong Kong, China. Mikkel.Brabrand@rsyd.dk.
Chun Yu YeungAccident and Emergency Medicine Academic Unit, Chinese University of Hong Kong, Hong Kong, China. gregory_ycyg@yahoo.com.hk.
Suet Yi ChanAccident and Emergency Medicine Academic Unit, Chinese University of Hong Kong, Hong Kong, China. chan_syi@hotmail.com.
Cherry C Y LamAccident and Emergency Medicine Academic Unit, Chinese University of Hong Kong, Hong Kong, China. 1155108119@link.cuhk.edu.hk.
Kevin K C HungAccident and Emergency Medicine Academic Unit, Chinese University of Hong Kong, Hong Kong, China. kevin.hung@cuhk.edu.hk.ORCID 0000-0001-8706-7758
Colin A GrahamAccident and Emergency Medicine Academic Unit, Chinese University of Hong Kong, Hong Kong, China. cagraham@cuhk.edu.hk.ORCID 0000-0002-4381-7470

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determine the validity of the Quick Sepsis-Related Organ Failure Assessment (qSOFA) in the prediction of outcome (in-hospital and 1-month mortality, intensive care unit (ICU) admission, and hospital and ICU length of stay) in adult patients with or without suspected infections where qSOFA was calculated and reported; Methods: Cochrane Central of Controlled trials, EMBASE, BIOSIS, OVID MEDLINE, OVID Nursing Database, and the Joanna Briggs Institute EBP Database were the main databases searched. All studies published until 12 April 2018 were considered. All studies except case series, case reports, and conference abstracts were considered. Studies that included patients with neutropenic fever exclusively were excluded.

resultsThe median AUROC for in-hospital mortality (27 studies with 380,920 patients) was 0.68 (a range of 0.55 to 0.82). A meta-analysis of 377,623 subjects showed a polled AUROC of 0.68 (0.65 to 0.71); however, it also confirmed high heterogeneity among studies (I² = 98.8%, 95%CI 98.6 to 99.0). The median sensitivity and specificity for in-hospital mortality (24 studies with 118,051 patients) was 0.52 (range 0.16 to 0.98) and 0.81 (0.19 to 0.97), respectively. Median positive and negative predictive values were 0.2 (range 0.07 to 0.38) and 0.94 (0.85 to 0.99), respectively.

Indexed as

prognosisqSOFAsepsis

Identifiers

PMID30626160
PMCPMC6351955

What OpenQuestion holds

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Registered trials

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.