Evidence map›Paper›PMID 40444258›Full record

ReviewJournal of sickle cell disease2025

Mathematical modeling of SCD: a literature review.

Quindel Jones, Reginald McGee, Rebecca Segal, Wally R Smith, Cecelia Valrie

Abstract readReview
In one paragraph

Review in Journal of sickle cell disease, 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
–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

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

5 authors.

Quindel JonesDivision of Pulmonary Systems Medicine, University of Florida, Gainesville, FL 32611, United States.ORCID https://orcid.org/0000-0002-7678-6527
Reginald McGeeDepartment of Mathematics and Statistics, Haverford College, Haverford, PA 19041, United States.ORCID https://orcid.org/0000-0001-6840-0471
Rebecca SegalDepartment of Mathematics and Applied Mathematics, Virginia Commonwealth University, Richmond, VA 23284, United States.ORCID https://orcid.org/0000-0001-8899-9709
Wally R SmithDivision of General Internal Medicine, Virginia Commonwealth University, Richmond, VA 23219, United States.ORCID https://orcid.org/0000-0002-4122-5367
Cecelia ValrieDepartment of Psychology, Virginia Commonwealth University, Richmond, VA 23284, United States.ORCID https://orcid.org/0000-0002-7204-6812

Funding

Predicting Pediatric Sickle Cell Disease Acute Pain Using Mathematical Models Based on mHealth DataR21DE032583 · NIDCR · VIRGINIA COMMONWEALTH UNIVERSITY · PI MCGEE, REGINALD, VALRIE, CECELIA R · 2022 to 2022
$420k
NIDCR NIH HHS R21 DE032583
6 · The paper itself

Abstract

SCD is a family of genetic blood disorders that affects over 20 million people worldwide. SCD complications include pain, anemia, and early death. The hallmark cause of medical visits for people with SCD is pain, initially in the form of acute, severe, vaso-occlusive crises stemming from obstructed blood vessels and a plethora of underlying disordered biological mechanisms. Vaso-occlusive crises are unpredictable and are often associated with acute disability and/or hospitalization. Both vaso-occlusive crises and longer-term, chronic sickle cell pain can contribute to multi-system organ damage and eventually early death. Many of the disordered biological mechanisms of SCD, and how they relate to painful outcomes, are not well understood. Mathematical modeling can be a useful tool to study and analyze such disordered SCD biological phenomena: biodynamics, vaso-occlusion, and responses to SCD drug and gene therapy. In this review, we summarize the variety of mathematical modeling methods used to study SCD and provide specific examples of how mathematical modeling contributes new understandings of SCD.

Indexed as

difference equationshybrid modelmachine learningordinary and partial differential equationsstatistical modeling

Identifiers

PMID40444258
PMCPMC12116466

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.