Evidence map›Paper›PMID 40182961›Full record

ArticleSaudi journal of ophthalmology : official journal of the Saudi Ophthalmological Society

Interdisciplinary approach in the management of visual loss in giant cell arteritis.

Luca De Simone, Chiara Marvisi, Caterina Ricordi, Fabrizio Gozzi, Elena Bolletta, Pietro Gentile, Francesco Muratore, Luca Cimino, Carlo Salvarani

Abstract read
In one paragraph

Article in Saudi journal of ophthalmology : official journal of the Saudi Ophthalmological Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Luca De Simone *Ocular Immunology Unit, Azienda USL-IRCCS di Reggio Emilia, Italy.
Chiara Marvisi *Rheumatology Unit, Azienda USL-IRCCS di Reggio Emilia, and University of Modena and Reggio Emilia, Italy.
Caterina RicordiRheumatology Unit, Azienda USL-IRCCS di Reggio Emilia, and University of Modena and Reggio Emilia, Italy.
Fabrizio GozziOcular Immunology Unit, Azienda USL-IRCCS di Reggio Emilia, Italy.
Elena BollettaOcular Immunology Unit, Azienda USL-IRCCS di Reggio Emilia, Italy.
Pietro GentileOcular Immunology Unit, Azienda USL-IRCCS di Reggio Emilia, Italy.
Francesco MuratoreRheumatology Unit, Azienda USL-IRCCS di Reggio Emilia, and University of Modena and Reggio Emilia, Italy.
Luca CiminoOcular Immunology Unit, Azienda USL-IRCCS di Reggio Emilia, Italy.
Carlo SalvaraniRheumatology Unit, Azienda USL-IRCCS di Reggio Emilia, and University of Modena and Reggio Emilia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Giant cell arteritis (GCA) is the most common vasculitis among older patients in western countries. A correct diagnosis permits the prompt initiation of glucocorticoids, which still represent the cornerstone of treatment. One of the most feared complications of the disease is sudden visual loss and other ischemic events causing visual disturbances. In these cases, an interdisciplinary approach between ophthalmologists and rheumatologists is crucial to avoiding any diagnostic delays and to permitting correct clinical assessment without subjecting the patient to unnecessary treatment. In this review, we discuss the main causes of visual disturbances in GCA, particularly the causes of sight loss, outlining the red flags that should raise suspicion in ophthalmologists and rheumatologists.

Indexed as

Giant cell arteritisophthalmologistrheumatologistvasculitisvisual loss

Identifiers

PMID40182961
PMCPMC11964345

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.