Evidence map›Paper›PMID 35712689›Full record

ArticleJournal of community hospital internal medicine perspectives2022

Immensely High Creatine Kinase Levels in a Case of Rhabdomyolysis Due to Legionnaires' Disease in a Patient on Tofacitinib: A Case Report and Literature Review.

Harish Gopalakrishna, Ahmad Al-Abdouh, Gayatri B Nair, Vinod Solipuram, Ammer Bekele

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of community hospital internal medicine perspectives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Before Blaming Legionella for Severe Rhabdomyolysis, Consider Alternative Triggers.Journal of community hospital internal medicine perspectives · 2023
    Article
  2. Legionnaires' Disease Complicated with Rhabdomyolysis and Acute Kidney Injury.European journal of case reports in internal medicine · 2023
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Harish GopalakrishnaDepartment of Medicine, Saint Agnes Healthcare, Baltimore, MD, USA.
Ahmad Al-AbdouhDepartment of Medicine, Saint Agnes Healthcare, Baltimore, MD, USA.
Gayatri B NairDepartment of Medicine, Saint Agnes Healthcare, Baltimore, MD, USA.
Vinod SolipuramDepartment of Medicine, Saint Agnes Healthcare, Baltimore, MD, USA.
Ammer BekeleDepartment of Medicine, Saint Agnes Healthcare, Baltimore, MD, USA.
Saint Agnes Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 58-year-old female patient presented with altered mental status, diarrhea, and fever. She was hospitalized for acute kidney injury [AKI] and a patchy right lower lobe infiltrates on chest X-ray. Subsequent testing revealed rhabdomyolysis and a positive urinary Legionella antigen test. Creatinine kinase [CK] level peaked at 512,820 U/L and was managed with aggressive intravenous hydration and appropriate antibiotic treatment. With clinical signs of resolution of pneumonia, the CK level declined rapidly, however renal function returned to baseline only after 2 months requiring hemodialysis in the meantime. The patient was also on tofacitinib which can rarely contribute to rhabdomyolysis. Legionella infection can cause severe rhabdomyolysis and AKI. Timely diagnosis of Legionella-associated rhabdomyolysis, and prompt treatment with aggressive IV hydration and appropriate antibiotics is required to prevent morbidity and mortality.

Indexed as

Acute renal failureLegionellaLegionnaires' diseasePneumoniaRhabdomyolysisTofacitinib

Identifiers

PMID35712689
PMCPMC9195066
OpenAlexW4223615624

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.