Evidence map›Paper›PMID 34227657›Full record

ArticleThe British journal of surgery2021

Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score.

COVIDSurg Collaborative

Abstract readMulticenter Study
In one paragraph

Article in The British journal of surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 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

24 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Prophylactic anticoagulants for non-hospitalised people with COVID-19.The Cochrane database of systematic reviews · 2023
    Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Pituitary and SARS CoV-2: An unremitting conundrum.Best practice & research. Clinical endocrinology & metabolism · 2023
    Review
  15. Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review.Archives of computational methods in engineering : state of the art reviews · 2023
    Review
  16. The snapshot audit methodology: design, implementation and analysis of prospective observational cohort studies in surgery.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2023
    Review
  17. Article
  18. Article
  19. Review
  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

1 author.

COVIDSurg Collaborative

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
R01 Administrative Supplement for AI Prediction of Trauma Resuscitation ResponsivenessR01HL149670 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CALLCUT, RACHAEL A · 2020 to 2024
$4.6M
British Heart Foundation CH/17/1/32804British Heart Foundation PG/15/33/31394NCI NIH HHS P30 CA008748NHLBI NIH HHS R01 HL149670
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Models, StatisticalRisk AssessmentCohort StudiesCOVID-19Datasets as TopicHumansMachine LearningSARS-CoV-2Surgical Procedures, Operative

Identifiers

PMID34227657
PMCPMC8344569

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.