Evidence map›Paper›PMID 32520830›Full record

ArticleJournal of pediatric gastroenterology and nutrition2020

Analysis of Using the Total White Blood Cell Count to Define Severe New-onset Ulcerative Colitis in Children.

David R Mack, Bradley Saul, Brendan Boyle, Anne Griffiths, Cary Sauer, James Markowitz, Neal LeLeiko, David Keljo, Joel R Rosh, Susan S Baker and 13 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of pediatric gastroenterology and nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

23 authors at 17 institutions in 2 countries.

David R MackChildren's Hospital of Eastern Ontario and University of Ottawa, Ottawa, Ontario, Canada.
Bradley SaulNoviSci, Durham, NC.
Brendan BoyleNationwide Children's Hospital, Columbus, OH.
Anne GriffithsHospital for Sick Children and University of Toronto, Toronto, Ontario, Canada.
Cary SauerEmory Children's Center, Atlanta, GA.
James MarkowitzCohen Children's Medical Center of New York, New Hyde Park.
Neal LeLeikoNew York-Presbyterian Morgan Stanley Children's Hospital, New York, NY.
David KeljoChildren's Hospital of Pittsburgh, Pittsburgh, PA.
Joel R RoshGoryeb Children's Hospital/Atlantic Health, Morristown.
Susan S BakerWomen & Children's Hospital of Buffalo, Buffalo, NY.
Steve SteinerRiley Children's Hospital, Indiana University School of Medicine, Indianapolis, IN.
Melvin B HeymanDepartment of Pediatrics and UCSF Benioff Children's Hospital, University of California at San Francisco, San Francisco, CA.
Ashish S PatelChildren's Medical Center of Dallas, Dallas, TX.
Robert BaldassanoChildren's Hospital of Philadelphia, Philadelphia, PA.
Joshua NoeMedical College of Wisconsin, Milwaukee, WI.
Paul RufoBoston Children's Hospital, Boston, MA.
Subra KugathasanEmory Children's Center, Atlanta, GA.
Thomas WaltersHospital for Sick Children and University of Toronto, Toronto, Ontario, Canada.
Alison MarquisCollaborative Studies Coordinating Center, University of North, Carolina, Chapel Hill.
Sonia M ThomasRTI International, Research Triangle, NC.
Lee DensonCincinnati Children's Hospital Medical Center, Cincinnati, OH.
Jeffrey HyamsConnecticut Children's Medical Center, Hartford, CT.
PROTECT STUDY GROUP
Children's Center · USChildren's Hospital of Eastern Ontario · CACohen Children's Medical Center · USMorgan Stanley Children's Hospital · USNationwide Children's Hospital · USBoston Children's Hospital · USBoston Children's Museum · USChildren's Hospital of Pittsburgh · USChildren's Medical Center · USCincinnati Children's Hospital Medical Center · USGoryeb Children's Hospital · USHospital for Sick Children · CAIndiana University – Purdue University Indianapolis · USNovelis (Canada) · CARTI International · USSickKids Foundation · CAWomen & Children's Hospital of Buffalo · US

Funding

Stem Cell/Organoid and Genome Editing CoreP30DK078392 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI Alexander Miethke · 2007 to 2026
$24.4M
Predicting Response to Standardized Pediatric Colitis Therapy: PROTECT StudyU01DK095745 · NIDDK · CONNECTICUT CHILDREN'S MEDICAL CENTER · PI DENSON, LEE ARMISTEAD, HYAMS, JEFFREY SAMUEL · 2012 to 2016
$10.4M
NIDDK NIH HHS P30 DK078392NIDDK NIH HHS U01 DK095745
6 · The paper itself

Abstract

objectivesThe aim of this study was to assess common laboratory tests in identifying severe ulcerative colitis in children at diagnosis.

methodsA cohort of 427 children 4 to 17 years of age newly diagnosed with ulcerative colitis (UC) was prospectively enrolled. Boosted classification trees were used to characterize predictive ability of disease attributes based on clinical disease severity using Pediatric Ulcerative Colitis Activity Index (PUCAI), severe (65+) versus not severe (<65) and total Mayo score, severe (10-12) versus not severe (<10); mucosal disease by Mayo endoscopic subscore, severe (3) versus not severe (<3); and extensive disease versus not extensive (left-sided and proctosigmoiditis).

resultsMean age was 12.7 years; 49.6% (n = 212) were girls, and 83% (n = 351) were Caucasian. Severe total Mayo score was present in 28% (n = 120), mean PUCAI score was 49.8 ± 20.1, and 33% (n = 142) had severe mucosal disease with extensive involvement in 82% (n = 353). Classification and regression trees identified white blood cell count, erythrocyte sedimentation rate, and platelet count (PLT) as the set of 3 best blood laboratory tests to predict disease extent and severity. For mucosal severity, albumin (Alb) replaced PLT. Classification models for PUCAI and total Mayo provided sensitivity of at least 0.65 using standard clinical cut-points with misclassification rates of approximately 30%.

conclusionsA combination of the white blood cell count, erythrocyte sedimentation rate, and either PLT or albumin is the best predictive subset of standard laboratory tests to identify severe from nonsevere clinical or mucosal disease at diagnosis in relation to objective clinical scores.

Indexed as

Colitis, UlcerativeBlood SedimentationChildColonoscopyFemaleHumansLeukocyte CountMaleSeverity of Illness Index

Identifiers

PMID32520830
PMCPMC8482284
OpenAlexW3033295771

What OpenQuestion holds

Textmetadata
LicenceTDM
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.