Evidence map›Paper›PMID 29479215›Full record

ArticlePaediatrics & child health2017

Assessment of WINROP algorithm as screening tool for preterm infants in Manitoba to detect retinopathy of prematurity.

Ebtihal Ali, Nasser Al-Shafouri, Abrar Hussain, R John Baier

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Paediatrics & child health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 43% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. 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 at 2 institutions in 1 country.

Ebtihal AliDepartment of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba.
Nasser Al-ShafouriNeonatology Section, Pediatrics and Child Health Department, University of Manitoba, Winnipeg, Manitoba.
Abrar HussainNeonatology Section, Pediatric, and Child Health Department, Winnipeg Regional Health Authority, Winnipeg, Manitoba.
R John BaierNeonatology Section, Pediatrics and Child Health Department, University of Manitoba, Winnipeg, Manitoba.
University of Manitoba · CAWinnipeg Regional Health Authority · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDeveloping less invasive methods for early detection of retinopathy of prematurity (ROP) is vital to minimizing blindness in premature infants. Lofqvist and colleagues developed a computer-based ROP risk algorithm (WINROP) (https://winrop.com), which detects downtrends in postnatal weight gain that correlate with the development of sight-threatening ROP. The aim of this study is to investigate the sensitivity and specificity of the WINROP algorithm to detect vision-threatening ROP.

methodsThis is a retrospective chart review study between January 2008 and December 2013. This study was conducted in the neonatal intensive care unit in Children's Hospital at Health Sciences Centre, Winnipeg, Manitoba, Canada. The study included preterm infants, less than 32 weeks' gestation, who were admitted to the hospital during the study period. The included 215 infants were eligible for ROP screening and had sufficient data to be entered into the WINROP algorithm. Infants were screened by a paediatric ophthalmologist for retinopathy of prematurity. The body weight of infants was measured weekly and entered into the WINROP algorithm; the sensitivity and the specificity of the WINROP algorithm were assessed.

resultsThe mean gestational age was 28.6 ± 1.8 weeks. The mean body weight was 1244 ± 294 g. The sensitivity of the WINROP algorithm to detect vision-threatening retinopathy of prematurity in our cohort was 90% (P=0.021) with a specificity of 60% (P=0.002).

conclusionThe WINROP algorithm lacks sufficient sensitivity to be used clinically in our population. The algorithm needs to be reassessed in contemporary populations.

Indexed as

InfantsNeonatal intensive careOphthalmology screeningPrematureRetinopathy of prematurityWINROP algorithm.

Identifiers

PMID29479215
PMCPMC5804560
OpenAlexW2612368372

What OpenQuestion holds

Textmetadata
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.