Evidence map›Paper›PMID 40542255›Full record

ArticleScientific reports2025

Sinusoidal exponential distribution for modeling elevated creatinine kinase level as the initial presentation of Covid-19.

N M Kilany, A M Alharpy

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
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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

2 authors.

N M KilanyMathematics and Computer Science Department, Faculty of Science, Menoufia University, Shebin EL-Kom, Egypt. neveenkilany@science.menofia.edu.eg.
A M AlharpyMathematics Department, Faculty of Science, Taibah University, Al-Madinah Al-Munawara, Medina, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper is devoted to deriving a new lifetime distribution based on a sine function to model different initial symptoms of Covid-19 patients that initially present as muscle weakness with increased Creatinine Kinase (CK), without fever or respiratory symptoms. The new distribution is called Sinusoidal Exponential Distribution. Among its interesting properties, it has the feature of possessing a periodic hazard rate function. Some of its mathematical properties are studied, including moments, moment generating function, hazard rate function, mean residual life function, reversed failure rate and Lorenz and Bonferroni Curves. The estimation of its parameter is investigated using the maximum likelihood estimation. A simulation study is carried out to assess the performance of the obtained estimators for small and large samples. Areal-life data set is considered to illustrate the usefulness and the flexibility of the proposed distribution.

Indexed as

COVID-19Creatine KinaseComputer SimulationHumansLikelihood FunctionsSARS-CoV-2Creatine KinaseCOVID-19Elevated creatinine kinasegoodness-of-fit statisticsNew exponential distributionTrigonometric distribution

Identifiers

PMID40542255
PMCPMC12181415

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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.