Evidence map›Paper›PMID 35145825›Full record

ArticleCureus2022

Anti-Programmed Death Ligand-1 Induced Acute Vision Loss in a Patient With Cancer-Associated Retinopathy.

Muhammad Z Chauhan, Hana A Mansour, Maroof K Zafar, Sami H Uwaydat

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

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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

4 authors at 1 institution in 2 countries.

Muhammad Z ChauhanDepartment of Ophthalmology, University of Arkansas for Medical Sciences, Little Rock, USA.
Hana A MansourDepartment of Ophthalmology, American University of Beirut, Beirut, LBN.
Maroof K ZafarDepartment of Biochemistry, University of Arkansas for Medical Sciences, Little Rock, USA.
Sami H UwaydatDepartment of Ophthalmology, University of Arkansas for Medical Sciences, Little Rock, USA.
University of Arkansas for Medical Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer-associated retinopathy (CAR) is a potentially blinding disease triggered by autoimmunity to cancer antigens at distant sites. It may masquerade as immune-related adverse events from the use of immune checkpoint inhibitors (ICIs). We present a patient with an underlying tubby-related protein 1 (TULP1) cancer-associated retinopathy who lost vision following initiation of atezolizumab for small-cell lung cancer. This 75-year-old man presented with no light perception, paramacular and peripheral retinal pigmentary changes, attenuated outer retina, and extinguished rod and cone responses. The visual loss followed the induction of atezolizumab therapy. Possible atezolizumab-associated acute macular neuroretinopathy was considered, and atezolizumab was discontinued. Vision improved on oral corticosteroid and deteriorated when corticosteroid was tapered quickly. Retinal autoantibody serology testing was negative for both anti-recoverin and anti-enolase and was positive for anti-TULP1 autoantibodies. Re-induction of atezolizumab concomitant with high-dose oral and intravitreal corticosteroids resulted in visual recovery at the three-month follow-up. These findings suggest that ICI therapy for cancer can exacerbate the retinal dysfunction in a patient with underlying autoimmunity from cancer. Patients with a high risk of CAR may need to be evaluated for retinal autoantibodies before initiation of ICI.

Indexed as

cancer-associated retinopathyparaneoplasticprogrammed death ligand-1tulp1vision loss

Identifiers

PMID35145825
PMCPMC8803375
OpenAlexW4213190001

What OpenQuestion holds

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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.