Evidence map›Paper›PMID 36831520›Full record

ArticleCancers2023

Machine Learning Logistic Regression Model for Early Decision Making in Referral of Children with Cervical Lymphadenopathy Suspected of Lymphoma.

Eline A M Zijtregtop, Louise A Winterswijk, Tammo P A Beishuizen, Christian M Zwaan, Rutger A J Nievelstein, Friederike A G Meyer-Wentrup, Auke Beishuizen

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. 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
1.8field-weighted citation impact, top 16% 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

7 authors at 2 institutions in 1 country.

Eline A M ZijtregtopDepartment of Pediatric Hemato-Oncology, Princess Máxima Centre for Pediatric Oncology, Heidelberglaan 25, 3585 CS Utrecht, The Netherlands.ORCID 0000-0002-4445-8190
Louise A WinterswijkDepartment of Pediatric Hemato-Oncology, Princess Máxima Centre for Pediatric Oncology, Heidelberglaan 25, 3585 CS Utrecht, The Netherlands.
Tammo P A BeishuizenDepartment of Pediatric Hemato-Oncology, Princess Máxima Centre for Pediatric Oncology, Heidelberglaan 25, 3585 CS Utrecht, The Netherlands.
Christian M ZwaanDepartment of Pediatric Hemato-Oncology, Princess Máxima Centre for Pediatric Oncology, Heidelberglaan 25, 3585 CS Utrecht, The Netherlands.
Rutger A J NievelsteinDepartment of Pediatric Hemato-Oncology, Princess Máxima Centre for Pediatric Oncology, Heidelberglaan 25, 3585 CS Utrecht, The Netherlands.
Friederike A G Meyer-WentrupDepartment of Pediatric Hemato-Oncology, Princess Máxima Centre for Pediatric Oncology, Heidelberglaan 25, 3585 CS Utrecht, The Netherlands.
Auke BeishuizenDepartment of Pediatric Hemato-Oncology, Princess Máxima Centre for Pediatric Oncology, Heidelberglaan 25, 3585 CS Utrecht, The Netherlands.ORCID 0000-0002-6482-1823
Princess Máxima Center · NLUniversity Medical Center Utrecht · NL

Funding

Erasmus MC Foundation 110874Ferenc Foundation 0101350
6 · The paper itself

Abstract

While cervical lymphadenopathy is common in children, a decision model for detecting high-grade lymphoma is lacking. Previously reported individual lymphoma-predicting factors and multivariate models were not sufficiently discriminative for clinical application. To develop a diagnostic scoring tool, we collected data from all children with cervical lymphadenopathy referred to our national pediatric oncology center within 30 months (

Indexed as

cervicalchildrendiagnosisdiagnostic modelHodgkin lymphomalymphadenopathylymphomanon-Hodgkin lymphomapediatric

Identifiers

PMID36831520
PMCPMC9954739
OpenAlexW4320494255

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.