Evidence map›Paper›PMID 40295571›Full record

ArticleScientific reports2025

Optical coherence tomography surpasses fundus imaging and intracranial pressure measurement in monitoring idiopathic intracranial hypertension.

Yumin Huang-Link, Sanna Eriksson, Jan Schmiauke, Ursula Schmiauke, Mats Fredrikson, Max Borgström, Ge Yang

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
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  4. Review
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.

Yumin Huang-LinkDivision of Neurology, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden. yumin.link@regionostergotland.se.
Sanna ErikssonFaculty of Medicine and Healthy Sciences, Linköping University, Linköping, Sweden.
Jan SchmiaukeDivision of Neurology, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Ursula SchmiaukeDivision of Neurology, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Mats FredriksonForum Östergötland and Department of Biomedical and Clinical Sciences, Linköping University Hospital, Linköping, Sweden.
Max BorgströmDivision of Psychiatry, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Ge YangHuizhou Aier Eye Hospital, Huizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aim to evaluate the retinal nerve fiber layer (RNFL) thickness measured with optical coherence tomography (OCT) in comparison with papilledema grade, and to assess the relationship between RNFL thickness, papilledema grade, and intracranial pressure (ICP) in idiopathic intracranial hypertension (IIH). Sixty-five patients with active IIH (AIIH) with papilledema, 39 with chronic IIH (CIIH) without papilledema and 80 healthy controls (HC) were examined with OCT and fundus imaging. RNFL thickness, papilledema grade and ICP level were assessed in 55 with AIIH and 26 with CIIH. RNFL thickness was significantly higher in AIIH compared to CIIH or HC. RNFL thickness correlated strongly with papilledema grade (coefficient 0.78, p < 0.01) and moderately with ICP (coefficient 0.569, p < 0.01). RNFL thickness was associated with papilledema progression (R

Indexed as

Intracranial PressurePseudotumor CerebriTomography, Optical CoherenceAdultCase-Control StudiesFemaleFundus OculiHumansMaleMiddle AgedNerve FibersPapilledemaYoung AdultFundus imagingIdiopathic intracranial hypertensionIntracranial pressureOptical coherence tomographyPapilledemaRetinal nerve fiber layer

Identifiers

PMID40295571
PMCPMC12037751

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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.