Evidence map›Paper›PMID 38469587›Full record

ArticleFrontiers in neurology2024

Identifying patients at risk for myasthenic crisis with hemogram and inflammation-related laboratory parameters - a pilot study.

Anne Mehnert, Sivan Bershan, Jil Kollmus-Heege, Lea Gerischer, Meret Luise Herdick, Sarah Hoffmann, Sophie Lehnerer, Franziska Scheibe, Frauke Stascheit, Maike Stein and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2024. 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
1.5field-weighted citation impact, top 19% 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.

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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

14 authors at 2 institutions in 2 countries.

Anne MehnertCharité - Universitätsmedizin Berlin, Department of Neurology with Experimental Neurology, Berlin, Germany.
Sivan BershanCharité - Universitätsmedizin Berlin, Center for Stroke Research Berlin, Berlin, Germany.
Jil Kollmus-HeegeCharité - Universitätsmedizin Berlin, Institute of Biometry and Clinical Epidemiology, Berlin, Germany.
Lea GerischerCharité - Universitätsmedizin Berlin, Department of Neurology with Experimental Neurology, Berlin, Germany.
Meret Luise HerdickCharité - Universitätsmedizin Berlin, Department of Neurology with Experimental Neurology, Berlin, Germany.
Sarah HoffmannCharité - Universitätsmedizin Berlin, Department of Neurology with Experimental Neurology, Berlin, Germany.
Sophie LehnererCharité - Universitätsmedizin Berlin, Department of Neurology with Experimental Neurology, Berlin, Germany.
Franziska ScheibeCharité - Universitätsmedizin Berlin, Department of Neurology with Experimental Neurology, Berlin, Germany.
Frauke StascheitCharité - Universitätsmedizin Berlin, Department of Neurology with Experimental Neurology, Berlin, Germany.
Maike SteinCharité - Universitätsmedizin Berlin, Department of Neurology with Experimental Neurology, Berlin, Germany.
Alastair M BuchanCharité - Universitätsmedizin Berlin, Center for Stroke Research Berlin, Berlin, Germany.
Andreas MeiselCharité - Universitätsmedizin Berlin, Department of Neurology with Experimental Neurology, Berlin, Germany.
Annette Aigner *Charité - Universitätsmedizin Berlin, Center for Stroke Research Berlin, Berlin, Germany.
Philipp Mergenthaler *Charité - Universitätsmedizin Berlin, Department of Neurology with Experimental Neurology, Berlin, Germany.
Charité - Universitätsmedizin Berlin · DEUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Myasthenia gravis (MG) is a rare autoimmune disease characterized by fatigable weakness of the voluntary muscles and can exacerbate to life-threatening myasthenic crisis (MC), requiring intensive care treatment. Routine laboratory parameters are a cost-effective and widely available method for estimating the clinical outcomes of several diseases, but so far, such parameters have not been established to detect disease progression in MG. Methods: We conducted a retrospective analysis of selected laboratory parameters related to inflammation and hemogram for MG patients with MC compared to MG patients without MC. To identify potential risk factors for MC, we applied time-varying Cox regression for time to MC and, as a sensitivity analysis, generalized estimating equations logistic regression for the occurrence of MC at the next patient visit. Results: 15 of the 58 examined MG patients suffered at least one MC. There was no notable difference in the occurrence of MC by antibody status or sex. Both regression models showed that higher counts of basophils (per 0.01 unit increase: HR = 1.32, 95% CI = 1.02-1.70), neutrophils (per 1 unit increase: HR = 1.40, 95% CI = 1.14-1.72), potentially leukocytes (per 1 unit increase: HR = 1.15, 95% CI = 0.99-1.34), and platelets (per 100 units increase: HR = 1.54, 95% CI = 0.99-2.38) may indicate increased risk for a myasthenic crisis. Conclusion: This pilot study provides proof of the concept that increased counts of basophils, neutrophils, leukocytes, and platelets may be associated with a higher risk of developing MC in patients with MG.

Indexed as

hemograminflammationlaboratory parametersmyastheniamyasthenia gravismyasthenic crisisrisk prediction

Identifiers

PMID38469587
PMCPMC10925644
OpenAlexW4392145916

What OpenQuestion holds

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LicenceCC BY
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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.