Evidence map›Paper›PMID 26587352›Full record

ArticlePeerJ2015

Detection of diabetic macular oedema: validation of optical coherence tomography using both foveal thickness and intraretinal fluid.

Carmen Hernández-Martínez, Antonio Palazón-Bru, Cesar Azrak, Aída Navarro-Navarro, Manuel Vicente Baeza-Díaz, José Juan Martínez-Toldos, Vicente Francisco Gil-Guillén

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 3 institutions in 1 country.

Carmen Hernández-MartínezOphthalmology Service, General Hospital of Elche , Elche, Alicante , Spain.
Antonio Palazón-BruDepartment of Clinical Medicine, Miguel Hernández University , San Juan de Alicante, Alicante , Spain ; Research Unit, Elda Hospital , Elda, Alicante , Spain.
Cesar AzrakOphthalmology Service, General Hospital of Elche , Elche, Alicante , Spain.
Aída Navarro-NavarroOphthalmology Service, General Hospital of Elche , Elche, Alicante , Spain.
Manuel Vicente Baeza-DíazOphthalmology Service, General Hospital of Elche , Elche, Alicante , Spain ; Department of Clinical Medicine, Miguel Hernández University , San Juan de Alicante, Alicante , Spain.
José Juan Martínez-ToldosOphthalmology Service, General Hospital of Elche , Elche, Alicante , Spain.
Vicente Francisco Gil-GuillénDepartment of Clinical Medicine, Miguel Hernández University , San Juan de Alicante, Alicante , Spain ; Research Unit, Elda Hospital , Elda, Alicante , Spain.
Hospital General Universitario de Elche · ESHospital General de Elda · ESUniversitat de Miguel Hernández d'Elx · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledNo studies have yet evaluated jointly central foveal thickness (CFT) and the presence of intraretinal fluid (PIF) to diagnose diabetic macular oedema (DMO) using optic coherence tomography (OCT). We performed a cross-sectional observational study to validate OCT for the diagnosis of DMO using both CFT and PIF assessed by OCT (3D OCT-1 Maestro). A sample of 277 eyes from primary care diabetic patients was assessed in a Spanish region in 2014. OUTCOME: DMO diagnosed by stereoscopic mydriatic fundoscopy. OCT was used to measure CFT and PIF. A binary logistic regression model was constructed to predict the outcome using CFT and PIF. The area under the ROC curve (AUC) of the model was calculated and non-linear equations used to determine which CFT values had a high probability of the outcome (positive test), distinguishing between the presence or absence of PIF. Calculations were made of the sensitivity, specificity, and the positive (PLR) and negative (NLR) likelihood ratios. The model was validated using bootstrapping methodology. A total of 37 eyes had DMO. AUC: 0.88. Positive test: CFT ≥90 µm plus PIF (≥310 µm if no PIF). Clinical parameters: sensitivity, 0.83; specificity, 0.89; PLR, 7.34; NLR, 0.19. The parameters in the validation were similar. In conclusion, combining PIF and CFT provided a tool to very precisely discriminate the presence of DMO. Similar studies are needed to provide greater scientific evidence for the use of PIF in the diagnosis of DMO.

Indexed as

Diabetes complicationsMacular oedemaOptical coherence tomographyVision screening

Identifiers

PMID26587352
PMCPMC4647548
OpenAlexW2218770168

What OpenQuestion holds

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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.