Evidence map›Paper›PMID 32667756›Full record

ReviewClinical orthopaedics and related research2020

CORR Synthesis: When Should We Be Skeptical of Clinical Prediction Models?

Aditya V Karhade, Joseph H Schwab

Abstract readReview
In one paragraph

Review in Clinical orthopaedics and related research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Machine learning prediction models in orthopedic surgery: A systematic review in transparent reporting.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022
    Pooled it
  2. Temporal validation of the SORG 90-Day and 1-Year machine learning algorithms for survival of patients with spinal metastatic disease.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
    Article
  3. Article
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  5. Development and internal validation of a clinical prediction model for serious complications after emergency laparotomy.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Article
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  7. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Aditya V KarhadeA. V. Karhade, J. H. Schwab, Department of Orthopedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Joseph H SchwabA. V. Karhade, J. H. Schwab, Department of Orthopedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceChecklistClinical Decision-MakingClinical Decision RulesHumansMachine LearningNomogramsReproducibility of ResultsRisk AssessmentRisk Factors

Identifiers

PMID32667756
PMCPMC7899395

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.