Evidence map›Paper›PMID 39061613›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Purtscher Retinopathy Resulting from a Car Crash Accident-Multimodal Imaging Value.

Grzegorz Rotuski, Magdalena Bojarska, Michał Patyk, Radosław Różycki, Joanna Gołębiewska

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Grzegorz RotuskiDepartment of Ophthalmology, Military Institute of Aviation Medicine, 01-755 Warsaw, Poland.
Magdalena BojarskaDepartment of Ophthalmology, Military Institute of Aviation Medicine, 01-755 Warsaw, Poland.
Michał PatykDepartment of Ophthalmology, Military Institute of Aviation Medicine, 01-755 Warsaw, Poland.
Radosław RóżyckiDepartment of Ophthalmology, Military Institute of Aviation Medicine, 01-755 Warsaw, Poland.
Joanna GołębiewskaDepartment of Ophthalmology, Military Institute of Aviation Medicine, 01-755 Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purtscher retinopathy is a rare but severe sight-threatening eye condition that mostly occurs in middle-aged men after chest compression or head injury. In cases such as acute pancreatitis, connective tissue disorders, kidney failure or COVID-19 infection with similar ocular findings but no history of trauma, a diagnosis of Purtscher-like retinopathy is made. We present a case of a 72-year-old female with typical symptoms of Purtscher retinopathy in both eyes after a car crash accident. Although the pathophysiology of the disease is not fully understood, the main cause of Purtscher retinopathy seems to be an embolic occlusion of the precapillary arterioles which supply the superficial peripapillary capillaries. Activation of the C5a component of the complement predisposes the leukocytes to aggregation, which obstructs blood flow. The main symptom of Purtscher retinopathy is sudden, painless deterioration of vision which occurs up to 48 h after the injury. In most patients, the changes observed in the fundus of the eye resolve within several months, and visual acuity slowly improves, sometimes even returning to the state from before the injury. However, risk factors such as older age, high hyperopia, and late treatment implementation can make the prognosis less favorable.

Indexed as

fluorescein angiographykinetic perimetrymultifocal electroretinographyOCTPurtscher fleckenPurtscher-like retinopathyPurtscher retinopathytraumatic retinopathyvisual evoked potentials

Identifiers

PMID39061613
PMCPMC11276489

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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.