Evidence map›Paper›PMID 35767533›Full record

ArticlePloS one2022

Uveitis prior to clinical presentation of Multiple Sclerosis (MS) is associated with better MS prognosis.

Eyal Raskin, Anat Achiron, Ofira Zloto, Ron Neuman, Vicktoria Vishnevskia-Dai

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. 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 at 3 institutions in 1 country.

Eyal RaskinOphthalmology, Barzilai Medical Center, Askelon, Israel.
Anat AchironMultiple Sclerosis Institute, Sheba Medical Center, Tel Hashomer, Israel.
Ofira ZlotoSackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0002-3548-424X
Ron NeumanMaccabi Healthcare Service, Tel Aviv, Israel.
Vicktoria Vishnevskia-DaiSackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Tel Aviv University · ILBen-Gurion University of the Negev · ILMaccabi Healthcare Services · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAn association between uveitis and multiple sclerosis (MS) is well-established, but the actual nature of that association remains poorly understood. We sought to determine the association between the presence of a uveitis diagnosis prior to an MS diagnosis compared to no pre-existing uveitis diagnosis in MS patients.

methodsPatients in whom the presentation of uveitis preceded the presentation of MS (study group) and patients with MS and no uveitis (control group) were randomly selected at a ratio of 1:3 from the Sheba Multiple Sclerosis Center computerized database.

resultsEleven patients presented with uveitis prior to MS diagnosis (study group), and 31 randomly selected patients had MS without uveitis (control group). Only one patient in the study group deteriorated to EDSS 3 during the follow-up period, compared to 15 patients in the control group (9.1% vs 48.4%, P = 0.049). None of the patients in the study group reached EDSS 6 during the 10 years of follow-up compared to 6 (19.4%) patients in the control group (P = 0.194).

conclusionsMS patients who presented with uveitis that preceded their neurological symptoms of MS demonstrated a clinically significant better neurological prognosis, than our MS patients with no uveitis.

Indexed as

Multiple SclerosisUveitisHumansPrognosis

Identifiers

PMID35767533
PMCPMC9242474
OpenAlexW4285414380

What OpenQuestion holds

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LicenceCC BY
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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.