Evidence map›Paper›PMID 37435103›Full record

ArticleJournal of medical cases2023

Identifying the Cause of Acute Left-Sided Visual Loss: A Clinical Dilemma.

Anirudh R Damughatla, Vanessa Milan-Ortiz, Pragna Koleti, Myrna M Milan-Ortiz, Sudhir Reddy Pasham, Abhishek R Damughatla, Saivaishnavi Kamatham, Kareem Bazzy

Abstract readCase Reports
In one paragraph

Article in Journal of medical cases, 2023. 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

8 authors.

Anirudh R DamughatlaDepartment of Internal Medicine, Wayne State University & Detroit Medical Center, Detroit, MI, USA.
Vanessa Milan-OrtizDepartment of Internal Medicine, Wayne State University & Detroit Medical Center, Detroit, MI, USA.
Pragna KoletiDepartment of Internal Medicine, Suburban Community Hospital, Norristown, PA, USA.
Myrna M Milan-OrtizTransitional Program, Metropolitan Hospital Dr. Pila, Ponce, Puerto Rico.
Sudhir Reddy PashamDepartment of Internal Medicine, Guthrie Robert Packer Hospital, Sayre, PA, USA.
Abhishek R DamughatlaDepartment of Biomedical Engineering, The Ohio State University, Columbus, OH, USA.
Saivaishnavi KamathamDepartment of Internal Medicine, Wayne State University & Detroit Medical Center, Detroit, MI, USA.
Kareem BazzyDepartment of Internal Medicine, Wayne State University & Detroit Medical Center, Detroit, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the global increase in the incidence of head and neck cancers over the last decade, the use of chemoradiation has also increased. It is well known that chemotherapy/radiation are established standard therapies in head and neck cancers, especially in patients who are not candidates for surgery. Despite this increase in chemoradiation therapies in head and neck cancers, there is a lack of established guidelines on the surveillance and screening of these patients for long-term complications. We present an interesting case of acute left eye blindness in a veteran patient with a history of laryngeal cancer status post chemoradiation and in the setting of a left ventricular (LV) thrombus on anticoagulation resulting in a diagnostic challenge determining the etiology. This case emphasizes the need for thorough patient-centered annual evaluation, thus providing an opportunity for early noninvasive or minimally invasive intervention.

Indexed as

Acute left eye blindnessCarotid stenosisLarge vesselLaryngeal cancer status post chemoradiationLV thrombusStenosis due to chemoradiation

Identifiers

PMID37435103
PMCPMC10332869

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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.