Evidence map›Paper›PMID 33083555›Full record

ArticleBMJ open ophthalmology2020

Predictors for diabetic retinopathy progression-findings from nominal group technique and Evidence review.

Sajjad Haider, Salman Naveed Sadiq, Eniya Lufumpa, Harpreet Sihre, Mohammad Tallouzi, David J Moore, Krishnarajah Nirantharakumar, Malcolm James Price

Open access · goldAbstract read
In one paragraph

Article in BMJ open ophthalmology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Association of theFrontiers in medicine · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

8 authors at 2 institutions in 1 country.

Sajjad HaiderUniversity of Birmingham, Birmingham, UK.ORCID 0000-0001-8111-8577
Salman Naveed SadiqOphthalmology, Royal Victoria Infirmary, Newcastle, UK.
Eniya LufumpaUniversity of Birmingham, Birmingham, UK.
Harpreet SihreUniversity of Birmingham, Birmingham, UK.
Mohammad TallouziUniversity of Birmingham, Birmingham, UK.
David J MooreInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Krishnarajah NirantharakumarInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Malcolm James PriceInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
University of Birmingham · GBRoyal Victoria Infirmary · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRisk stratification is needed for patients referred to hospital eye services by Diabetic Eye Screening Programme UK. This requires a set of candidate predictors. The literature contains a large number of predictors. The objective of this research was to arrive at a small set of clinically important predictors for the outcome of the progression of diabetic retinopathy (DR). They need to be evidence based and readily available during the clinical consultation. METHODS AND ANALYSIS: Initial list of predictors was obtained from a systematic review of prediction models. We sought the clinical expert opinion using a formal qualitative study design. A series of nominal group technique meetings to shorten the list and to rank the predictors for importance by voting were held with National Health Service hospital-based clinicians involved in caring for patients with DR in the UK. We then evaluated the evidence base for the selected predictors by critically appraising the evidence.

resultsThe source list was presented at nominal group meetings (n=4), attended by 44 clinicians. Twenty-five predictors from the original list were ranked as important predictors and eight new predictors were proposed. Two additional predictors were retained after evidence check. Of these 35, 21 had robust supporting evidence in the literature condensed into a set of 19 predictors by categorising DR.

conclusionWe identified a set of 19 clinically meaningful predictors of DR progression that can help stratify higher-risk patients referred to hospital eye services and should be considered in the development of an individual risk stratification model. STUDY

designA qualitative study and evidence review.

settingSecondary eye care centres in North East, Midlands and South of England.

Indexed as

public healthretina

Identifiers

PMID33083555
PMCPMC7549478
OpenAlexW3091774766

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.