Evidence map›Paper›PMID 42667073›Full record

ArticleJournal of current ophthalmology

Discriminative Abilities of Macular and Retinal Nerve Fiber Layer Thickness in Multiple Sclerosis and Optic Neuritis.

Hassan Hashemi, Alireza Jamali, Morad Amir Ahmad, Abbasali Yekta, Reyhaneh Shariati-Moghaddam, Malihe-Sadat Razavi, Mehdi Khabazkhoob

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Article in Journal of current ophthalmology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hassan HashemiNoor Ophthalmology Research Center, Noor Eye Hospital, Tehran, Iran.
Alireza JamaliRehabilitation Research Center, Department of Optometry, School of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran.
Morad Amir AhmadDepartment of Optometry, Department of Physiotherapy, Erbil Technical and Medical Health Collage, Erbil Polytechnic University, Erbil, Kurdistan Region, Iraq.
Abbasali YektaDepartment of Optometry, School of Paramedical Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.
Reyhaneh Shariati-MoghaddamNoor Research Center for Ophthalmic Epidemiology, Noor Eye Hospital, Tehran, Iran.
Malihe-Sadat RazaviNoor Ophthalmology Research Center, Noor Eye Hospital, Tehran, Iran.
Mehdi KhabazkhoobDepartment of Medical Surgical Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To determine the discriminative abilities of macular and retinal nerve fiber layer (RNFL) thicknesses in multiple sclerosis (MS) from normal and to identify optic neuritis (ON) in MS patients. Methods: This cross-sectional case-control study included 133 participants aged 30-45 years: 66 definite MS patients (18 with ON) and 67 age- and sex-matched healthy controls. MS diagnosis was established ≥5 years before enrollment. Exclusion criteria were other neurological/retinal diseases, high refractive error (> ±6.00 diopter), media opacities, glaucoma, or intraocular surgery. All underwent spectral-domain optical coherence tomography (Cirrus High-Definition Optical Coherence Tomography) under pharmacologic mydriasis to measure RNFL and macular thicknesses. Results: MS patients without ON showed significantly reduced macular thickness in inner superior, outer inferior, outer superior, outer nasal, and outer temporal sectors versus controls. MS patients with ON had significantly thinner inner superior and outer superior macular sectors than those without ON. For distinguishing MS from controls, an average RNFL ≤94 μm yielded a sensitivity of 87.9%, a specificity of 70.2%, and the area under the receiver operating characteristic curve (AUC) of 0.836 ( Conclusion: RNFL thinning is a robust structural biomarker for MS and prior ON, whereas average macular thickness has limited standalone diagnostic utility for ON, though specific outer macular sectors show moderate discriminative value.

Indexed as

Macular thicknessesMultiple sclerosisOptic neuritisRetinal nerve fiber layer thicknesses

Identifiers

PMID42667073
PMCPMC13524408

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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.