Evidence map›Paper›PMID 29954609›Full record

ArticleThe Journal of pediatrics2018

Population-Based Validation of a Clinical Prediction Model for Congenital Diaphragmatic Hernias.

Daniel P Bent, Jason Nelson, David M Kent, Howard C Jen

Abstract readMulticenter Study
In one paragraph

Article in The Journal of pediatrics, 2018. 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. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Congenital diaphragmatic hernia.Nature reviews. Disease primers · 2022
    Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
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.

Daniel P BentDepartment of Surgery, Tufts Medical Center, Boston, MA.
Jason NelsonPredictive Analytics and Comparative Effectiveness Center, Tufts Medical Center, Boston, MA.
David M KentPredictive Analytics and Comparative Effectiveness Center, Tufts Medical Center, Boston, MA.
Howard C JenDivision of Pediatric Surgery, Mattel Children's Hospital at UCLA, Los Angeles, CA. Electronic address: hjen@mednet.ucla.edu.

Funding

Tufts Clinical and Translational Research InstituteUL1TR001064 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2013 to 2017
$26.4M
NCATS NIH HHS UL1 TR001064
6 · The paper itself

Abstract

objectiveTo examine the external validity of a well-known congenital diaphragmatic hernia (CDH) clinical prediction model using a population-based cohort. STUDY

designNewborns with CDH born in California between 2007 and 2012 were extracted from the Vital Statistics and Patient Discharge Data Linked Files. The total CDH risk score was calculated according to the Congenital Diaphragmatic Hernia Study Group (CDHSG) model using 5 independent predictors: birth weight, 5-minute Apgar, pulmonary hypertension, major cardiac defects, and chromosomal anomalies. CDHSG model performance on our cohort was validated for discrimination and calibration.

resultsA total of 705 newborns with CDH were extracted from 3 213 822 live births. Newborns with CDH were delivered in 150 different hospitals, whereas only 28 hospitals performed CDH repairs (1-85 repairs per hospital). The observed mortality for low-, intermediate-, and high-risk groups were 7.7%, 34.3%, and 54.7%, and predicted mortality for these groups were 4.0%, 23.2%, and 58.5%. The CDHSG model performed well within our cohort with a c-statistic of 0.741 and good calibration.

conclusionsWe successfully validated the CDHSG prediction model using an external population-based cohort of newborns with CDH in California. This cohort may be used to investigate hospital volume-outcome relationships and guide policy development.

Indexed as

Population SurveillanceCaliforniaFemaleFollow-Up StudiesHernias, Diaphragmatic, CongenitalHumansIncidenceInfantInfant MortalityInfant, NewbornMaleReproducibility of ResultsRetrospective StudiesRisk AssessmentSurvival Raterisk stratificationsurvival

Identifiers

PMID29954609
PMCPMC6153029

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Registered trials

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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.