SynthesisPloS one2015
A systematic review of studies comparing diagnostic clinical prediction rules with clinical judgment.
Synthesis in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Who responds to a multi-component treatment for cannabis use disorder? Using multivariable and machine learning models to classify treatment responders and non-responders.Addiction (Abingdon, England) · 2023Trial
- Risk stratification in pulmonary embolism: current evidence and future directions.The Journal of cardiovascular surgery · 2026Review
- Article
- Improving event prediction using general practitioner clinical judgement in a digital risk stratification model: a pilot study.BMC medical informatics and decision making · 2024Article
- 'Endless variation on a theme': a document analysis of international and UK major trauma triage tools.British paramedic journal · 2024Article
- Clinician perspectives and recommendations regarding design of clinical prediction models for deteriorating patients in acute care.BMC medical informatics and decision making · 2024Article
- Ventilator-associated pneumonia: pathobiological heterogeneity and diagnostic challenges.Nature communications · 2024Review
- Achieving large-scale clinician adoption of AI-enabled decision support.BMJ health & care informatics · 2024Article
- Comparison of VTE risk scores in guidelines for VTE diagnosis in nonsurgical hospitalized patients with suspected VTE.Thrombosis journal · 2023Article
- Early Diagnosis of Late-Onset Neonatal Sepsis Using a Sepsis Prediction Score.Microorganisms · 2023Article
- Article
- Machine learning did not beat logistic regression in time series prediction for severe asthma exacerbations.Scientific reports · 2022Article
- LMIC-PRIEST: Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19 in a middle-income setting.medRxiv : the preprint server for health sciences · 2022Article
- The clinical effectiveness of the STUMBL score for the management of ED patients with blunt chest trauma compared to clinical evaluation alone.Internal and emergency medicine · 2022Article
- Article
- Head injury assessment in rugby union: clinical judgement guidelines.BMJ open sport & exercise medicine · 2021Article
- Advances in the Diagnosis of Venous Thromboembolism: A Literature Review.Diagnostics (Basel, Switzerland) · 2020Review
- Clinical scores in primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2020Article
- Predictive model for bacterial late-onset neonatal sepsis in a tertiary care hospital in Thailand.BMC infectious diseases · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiagnostic clinical prediction rules (CPRs) are developed to improve diagnosis or decrease diagnostic testing. Whether, and in what situations diagnostic CPRs improve upon clinical judgment is unclear. METHODS AND
findingsWe searched MEDLINE, Embase and CINAHL, with supplementary citation and reference checking for studies comparing CPRs and clinical judgment against a current objective reference standard. We report 1) the proportion of study participants classified as not having disease who hence may avoid further testing and or treatment and 2) the proportion, among those classified as not having disease, who do (missed diagnoses) by both approaches. 31 studies of 13 medical conditions were included, with 46 comparisons between CPRs and clinical judgment. In 2 comparisons (4%), CPRs reduced the proportion of missed diagnoses, but this was offset by classifying a larger proportion of study participants as having disease (more false positives). In 36 comparisons (78%) the proportion of diagnoses missed by CPRs and clinical judgment was similar, and in 9 of these, the CPRs classified a larger proportion of participants as not having disease (fewer false positives). In 8 comparisons (17%) the proportion of diagnoses missed by the CPRs was greater. This was offset by classifying a smaller proportion of participants as having the disease (fewer false positives) in 2 comparisons. There were no comparisons where the CPR missed a smaller proportion of diagnoses than clinical judgment and classified more participants as not having the disease. The design of the included studies allows evaluation of CPRs when their results are applied independently of clinical judgment. The performance of CPRs, when implemented by clinicians as a support to their judgment may be different.
conclusionsIn the limited studies to date, CPRs are rarely superior to clinical judgment and there is generally a trade-off between the proportion classified as not having disease and the proportion of missed diagnoses. Differences between the two methods of judgment are likely the result of different diagnostic thresholds for positivity. Which is the preferred judgment method for a particular clinical condition depends on the relative benefits and harms of true positive and false positive diagnoses.
Indexed as
Identifiers
What OpenQuestion holds
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.