Evidence map›Paper›PMID 34016801›Full record

Observational studyIndian pediatrics2021

Diagnostic Accuracy of WINROP, CHOP-ROP and ROPScore in Detecting Type 1 Retinopathy of Prematurity.

Deena Thomas, Shamnad Madathil, Anu Thukral, M Jeeva Sankar, Parijat Chandra, Ramesh Agarwal, Ashok Deorari

Open access · bronzeAbstract readObservational StudyValidation Study
In one paragraph

Observational study in Indian pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Review
  7. Article
  8. Article
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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 1 institution in 1 country.

Deena ThomasDivision of Neonatology, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi.
Shamnad MadathilDivision of Neonatology, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi.
Anu ThukralDivision of Neonatology, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi. Correspondence to: Dr Anu Thukral, Associate Professor, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi 110029. dranuthukral@gmail.com.
M Jeeva SankarDivision of Neonatology, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi.
Parijat ChandraDepartment of Ophthalmology, Dr. Rajendra Prasad Center for Ophthalmic Sciences, New Delhi.
Ramesh AgarwalDivision of Neonatology, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi.
Ashok DeorariDivision of Neonatology, Department of Pediatrics, All India Institute of Medical Sciences, New Delhi.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlgorithms for predicting retinopathy of prematurity (ROP) requiring treatment need to be validated in Indian settings to determine if the burden of screening can be reduced without compromising the sensitivity of existing gestation and weight-based cut offs.

objectiveTo evaluate the performance of the available algorithms namely, WINROP (Weight, Insulin-like growth factor I, Neonatal ROP), CHOP-ROP (Children's Hospital of Philadelphia ROP) and ROPScore in predicting type 1 ROP and time from alarm to treatment by each algorithm. STUDY

designAmbispective observational.

settingTertiary care neonatal intensive care unit in India.

participantsNeonates less than 32 weeks or less than 1500 g born between July, 2013 to June, 2019 (N=578), who underwent ROP screening. PRIMARY OUTCOME: Sensitivity, specificity and time from alarm to treatment by each algorithm.

resultsThe sensitivity and specificity of WINROP was 85% and 36%, for CHOP-ROP it was 54% and 71%, and for ROPScore it was 73% and 67%, respectively in detecting type 1 ROP. A total of 50/51 (98%) of neonates with type 1 ROP underwent treatment at median gestation of 9 weeks and median time from alarm to treatment by WINROP, CHOP-ROP and ROPScore was 7, 7 and 3 weeks, respectively.

conclusionWINROP, CHOP-ROP and ROPScore were not sensitive enough to replace the gestational age, weight and risk factor-based screening criteria for type 1 ROP.

Indexed as

AlgorithmsRetinopathy of PrematurityBirth WeightGestational AgeHumansIndiaInfant, NewbornNeonatal ScreeningRetrospective StudiesRisk FactorsSensitivity and Specificity

Identifiers

PMID34016801
PMCPMC8549580
OpenAlexW3162080073

What OpenQuestion holds

Textmetadata
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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.