Evidence map›Paper›PMID 38374857›Full record

ArticleCureus2024

Recurrent Rhabdomyolysis Induced by a Viral Illness in a Young Patient.

Zahid Khan, Osman Ahmed, Syed Aun Muhammad, Jonard Carpio

Abstract readCase Reports
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  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

4 authors.

Zahid KhanAcute Medicine, Mid and South Essex NHS Foundation Trust, Southend-on-Sea, GBR.
Osman AhmedRespiratory Medicine, Mid and South Essex NHS Foundation Trust, Southend-on-Sea, GBR.
Syed Aun MuhammadCardiology, Mid and South Essex NHS Foundation Trust, Southend-on-Sea, GBR.
Jonard CarpioInternal Medicine, Mid and South Essex NHS Foundation Trust, Southend-on-Sea, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rhabdomyolysis is a syndrome caused by skeletal muscle disruption that results in the release of muscle proteins into circulation, which can lead to life-threatening systemic complications. These complications include acute kidney injury (AKI), renal failure, compartment syndrome, and disseminated intravascular coagulopathy. Patients commonly present with muscle pain, fatigue, weakness, and dark-colored urine. We present the case of a 37-year-old male who presented to the hospital with pain in the lower limbs and difficulty in mobility for the past two days after returning from Jamaica. He had a mild cold and body aches but denied any sore throat, cough, or shortness of breath (SOB). He tested negative for COVID-19. He had attended his local hospital the previous night, but due to the long waiting time, he presented to the accident and emergency department at our hospital. His physical examination was normal, and his urine was dark in color. All laboratory test results were normal, except for creatinine kinase (CK) levels >100,000 IU/L (reference: 40-320 IU/L) and an alanine transaminase (ALT) level of 376 U/L (reference: 30-130 U/L). Magnetic resonance imaging of both femurs revealed a high signal in multiple muscle compartments bilaterally on a short TI inversion recovery (STIR) sequence. Autoimmune screening results were negative. He had a similar episode last year due to COVID-19 with elevated CK levels. He received conservative treatment with IV fluids and was discharged eight days after hospital admission.

Indexed as

acute rhabdomyolysiscreatinine kinase-muscle/brainexertional rhabdomyolysisinfectious rhabdomyolysisrhabdomyolysis

Identifiers

PMID38374857
PMCPMC10876099

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.