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Record W2947327434 · doi:10.1093/pch/pxz066.105

106 Derivation and validation of a clinical decision rule to identify children at risk for intussusception

2019· article· en· W2947327434 on OpenAlexaff
Aude Tonson LaTour, Marie‐Pier Desjardins, Jocelyn Gravel

Bibliographic record

VenuePaediatrics & Child Health · 2019
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal disorders and treatments
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineIntussusception (medical disorder)Logistic regressionPediatricsProspective cohort studyCohortEmergency departmentPhysical examinationSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Intussusception is the most common cause of intestinal occlusion in young children. It cannot be reliably ruled out with clinical examination and the diagnosis is usually made with ultrasound performed by a radiologist. The primary objective of this study was to derive and validate a clinical decision tool to identify children at risk for intussusception who need an ultrasound among children younger than 5 years old. This was a prospective cohort study performed in a tertiary care pediatric emergency department. Participants were a convenience sample of children younger than 5 years old who necessitated an abdominal ultrasound for suspected intussusception according to the treating physician. The primary outcome was radiological confirmation of intussusception. A-priori, 24 independent variables were identified through literature review and a consensus of experts. Independent variables were collected prospectively before ultrasound using a standardized research clinical report form. Derivation of the clinical score was performed using multiple variable logistic regression among the participants after the recruitment of 50 cases of intussusception. Then, a second sample including at least 25 patients with an intussusception was used to measure predictive ability of the score using ROC curve (validation phase). A total of 238 children fulfilled the inclusion/exclusion criteria and were recruited during the derivation (n=175; 50 cases) and validation (n=63; 25 cases) phases. Using a multivariate model, a risk score was derived and includes 4 clinical criteria: age less than 36 months old, presence of vomiting, abdominal mass and hypotonia on physical exam. This score stratifies patients at low, moderate or high risk. When applied to the validation study population the score showed moderate predictive ability with an area under the ROC curve of 0.63 (95%CI: 0.49 To 0.77). We derived a clinical decision score to stratify the risk of intussusception among young children with clinical suspicion of intussusception. Using this score will improve resources utilisation for suspicion of intussusception.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.078
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.078
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.371
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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