Evidence map›Paper›PMID 36843819›Full record

ArticleCureus2023

A Rare Phenomenon of Isaacs Syndrome: A Case Report.

Arsh N Patel, Parth K Patel, Jaydip Desai, Srivikram Margam S, Katie Oakley, P J Reddy

Abstract readCase Reports
In one paragraph

Article in Cureus, 2023. 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

6 authors.

Arsh N PatelDepartment of Research, Alabama College of Osteopathic Medicine, Dothan, USA.
Parth K PatelDepartment of Research, George Washington University School of Medicine and Health Sciences, Washington, D.C., USA.
Jaydip DesaiDepartment of Research, Alabama College of Osteopathic Medicine, Dothan, USA.
Srivikram Margam SDepartment of Research, Alabama College of Osteopathic Medicine, Dothan, USA.
Katie OakleyDepartment of Research, Alabama College of Osteopathic Medicine, Dothan, USA.
P J ReddyDepartment of Internal Medicine, Decatur Morgan Hospital, Decatur, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We illustrate the case of a 71-year-old male who initially presented with sudden onset muscle weakness and ambulation difficulty. Following medication discontinuation and additional clinical studies, he failed to improve and was admitted to the hospital 11 weeks later. He had an associated 20-pound weight loss, sudorrhea, and muscle stiffness only when weight-bearing. A complete connective tissue cascade and a paraneoplastic panel were obtained. Clinical diagnosis of acquired neuromyotonia, or Isaacs syndrome (IS), was made, and he began experiencing significant improvement after intravenous steroid infusion. IS is a rare disease that has been poorly documented in the literature. There have only been a limited number of cases which are globally documented. One of the difficulties is a lack of definite autoantibody with which to correlate the disease; however, there has been some correlation linking the disease to voltage-gated potassium channels. Ultimately, the diagnosis should be driven by history and clinical presentation. The aim of this case report is to highlight a rare disease process and increase awareness among clinicians. We also describe the associated evaluation and recommended treatment for an optimal patient outcome.

Indexed as

acquired neuromyotoniaanti-leucine-rich glioma-inactivated 1auto immuneautoimmune myopathycaspr2isaacs syndromemorvans syndromemyopathysudorrheavoltage gated potassium channel antibody

Identifiers

PMID36843819
PMCPMC9949737

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.