Evidence map›Paper›PMID 30725323›Full record

SynthesisInternal and emergency medicine2019

Quick Sequential Organ Failure Assessment as a prognostic factor for infected patients outside the intensive care unit: a systematic review and meta-analysis.

Yan-Cun Liu, Yuan-Yuan Luo, Xingyu Zhang, Song-Tao Shou, Yu-Lei Gao, Bin Lu, Chen Li, Yan-Fen Chai

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Internal and emergency medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Screening tools for sepsis identification in paramedicine and other emergency contexts: a rapid systematic review.Scandinavian journal of trauma, resuscitation and emergency medicine · 2023
    Pooled it
  2. Trial
  3. Article
  4. Observational
  5. Article
  6. Mesenchymal stem cells from different sources for sepsis treatment: prospects and limitations.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2024
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Recommendations for antibiotic selection for severe nosocomial infections.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Yan-Cun LiuDepartment of Emergency Medicine, Tianjin Medical University General Hospital, 154 An-Shan Road, Tianjin, 300052, People's Republic of China. yancunliu@tmu.edu.cn.ORCID http://orcid.org/0000-0003-1164-7427
Yuan-Yuan LuoDepartment of Emergency Medicine, Tianjin Medical University General Hospital, 154 An-Shan Road, Tianjin, 300052, People's Republic of China.
Xingyu ZhangDepartment of Surgery, Emory University School of Medicine, Atlanta, 30322, USA.
Song-Tao ShouDepartment of Emergency Medicine, Tianjin Medical University General Hospital, 154 An-Shan Road, Tianjin, 300052, People's Republic of China.
Yu-Lei GaoDepartment of Emergency Medicine, Tianjin Medical University General Hospital, 154 An-Shan Road, Tianjin, 300052, People's Republic of China.
Bin LuDepartment of Emergency Medicine, Tianjin Medical University General Hospital, 154 An-Shan Road, Tianjin, 300052, People's Republic of China.
Chen LiDepartment of Emergency Medicine, Tianjin Medical University General Hospital, 154 An-Shan Road, Tianjin, 300052, People's Republic of China.
Yan-Fen ChaiDepartment of Emergency Medicine, Tianjin Medical University General Hospital, 154 An-Shan Road, Tianjin, 300052, People's Republic of China. chaiyanfen2012@126.com.

Funding

National Natural Science Foundation of China 81601714National Natural Science Foundation of China 81701931National Natural Science Foundation of China 81871593
6 · The paper itself

Abstract

Quick Sequential Organ Failure Assessment (qSOFA) was proposed to replace SIRS as a new screening tool for the identification of septic patients at high mortality. However, researches from infected patients outside of ICU especially in Emergency Department (ED) drew contradictory conclusions on the prognostic value of qSOFA. This systematic review evaluated qSOFA as a prognostic marker of infected patients outside of ICU. The primary outcome was hospital mortality or 28- or 30-day mortality. Data were pooled based on sensitivity and specificity. Twenty-four trials with 121,237 participants were included. qSOFA had a poor sensitivity (0.58 [95% CI 0.47-0.67], 0.54 [95% CI 0.43-0.65]) and moderate specificity (0.69 [95% CI 0.48-0.84], 0.77 [95% CI 0.66-0.86]) for prediction of mortality in patients outside of ICU and ED patients only. Studies that used in-hospital mortality showed a higher sensitivity (0.61 [95% CI 0.50-0.71] vs 0.32 [95% CI 0.15-0.49]) and lower specificity (0.70 [95% CI 0.59-0.82] vs 0.92 [95% CI 0.85-0.99]) than studies that used 28 or 30-day mortality. Studies with overall mortality < 10% showed higher specificity (0.89 [95% CI 0.82-0.95] vs 0.62 [95% CI 0.48-0.76]) than studies with overall mortality ≥ 10%. There is no difference in the accuracy of diagnosis of sepsis between positive qSOFA scores and SIRS criteria. qSOFA was poor sensitivity and moderate specificity in predicting mortality of infected patients outside of ICU especially in ED. Combining qSOFA and SIRS may be helpful in predicting mortality.

Indexed as

Organ Dysfunction ScoresPrognosisTime FactorsHospital MortalityHumansInfectionsMass ScreeningSensitivity and SpecificityEmergency DepartmentMeta-analysisMortalityqSOFASepsis

Identifiers

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.