Evidence map›Paper›PMID 37034021›Full record

ArticleWorld journal of critical care medicine2023

The artificial intelligence evidence-based medicine pyramid.

Valentina Bellini, Federico Coccolini, Francesco Forfori, Elena Bignami

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of critical care medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Evolution of Hybrid Intelligence and Its Application in Evidence-Based Medicine: A Review.Medical science monitor : international medical journal of experimental and clinical research · 2023
    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

4 authors.

Valentina BelliniDepartment of Medicine and Surgery, University of Parma, Anesthesiology, Critical Care and Pain Medicine Division, Parma 43126, Italy.
Federico CoccoliniDepartment of General, Emergency and Trauma Surgery, Pisa University Hospital, Pisa 56124, Italy.
Francesco ForforiDepartment of Anesthesia and Intensive Care, University of Pisa, Pisa 53126, Italy.
Elena BignamiDepartment of Medicine and Surgery, University of Parma, Anesthesiology, Critical Care and Pain Medicine Division, Parma 43126, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies exist in the literature regarding the exploitation of artificial intelligence in intensive care. However, an important gap between clinical research and daily clinical practice still exists that can only be bridged by robust validation studies carried out by multidisciplinary teams.

Indexed as

Artificial intelligenceClinical researchEvidence-based medicineIntensive careIntensive care unit

Identifiers

PMID37034021
PMCPMC10075045

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.