Evidence map›Paper›PMID 35381007›Full record

ArticlePloS one2022

Semiparametric mixed-effects model for analysis of non-invasive longitudinal hemodynamic responses during bone graft healing.

Sami Leon, Jingxuan Ren, Regine Choe, Tong Tong Wu

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Sami LeonDepartment of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, United States of America.ORCID 0000-0001-9138-9450
Jingxuan RenDepartment of Biomedical Engineering, University of Rochester, Rochester, NY, United States of America.ORCID 0000-0002-0020-1211
Regine ChoeDepartment of Biomedical Engineering, University of Rochester, Rochester, NY, United States of America.
Tong Tong WuDepartment of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, United States of America.ORCID 0000-0002-1175-9923

Funding

Longitudinal monitoring of bone fracture healing using diffuse optical and correlation tomographyR01AR071363 · NIAMS · UNIVERSITY OF ROCHESTER · PI REGINE CHOE · 2017 to 2026
$2.2M
NIAMS NIH HHS R01 AR071363
6 · The paper itself

Abstract

When dealing with longitudinal data, linear mixed-effects models (LMMs) are often used by researchers. However, LMMs are not always the most adequate models, especially if we expect a nonlinear relationship between the outcome and a continuous covariate. To allow for more flexibility, we propose the use of a semiparametric mixed-effects model to evaluate the overall treatment effect on the hemodynamic responses during bone graft healing and build a prediction model for the healing process. The model relies on a closed-form expectation-maximization algorithm, where the unknown nonlinear function is estimated using a Lasso-type procedure. Using this model, we were able to estimate the effect of time for individual mice in each group in a nonparametric fashion and the effect of the treatment while accounting for correlation between observations due to the repeated measurements. The treatment effect was found to be statistically significant, with the autograft group having higher total hemoglobin concentration than the allograft group.

Indexed as

AlgorithmsBone TransplantationAnimalsHemodynamicsLinear ModelsLongitudinal StudiesMiceTransplantation, Autologous

Identifiers

PMID35381007
PMCPMC8982895

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.