Evidence map›Paper›PMID 34434833›Full record

ArticleMethodsX2021

Seasonality, mediation and comparison (SMAC) methods to identify influences on lung function decline.

Emrah Gecili, Anushka Palipana, Cole Brokamp, Rui Huang, Eleni-Rosalina Andrinopoulou, Teresa Pestian, Erika Rasnick, Ruth H Keogh, Yizhao Ni, John P Clancy and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MethodsX, 2021. 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

12 authors.

Emrah GeciliDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229, United States.
Anushka PalipanaDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229, United States.
Cole BrokampDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229, United States.
Rui HuangDivision of Statistics and Data Science, Department of Mathematics, University of Cincinnati, 155B McMicken Hall, Cincinnati, OH, United States.
Eleni-Rosalina AndrinopoulouDepartment of Biostatistics, Erasmus Medical Center, Dr. Molewaterplein 40, 3015 GD, Rotterdam, Netherlands.
Teresa PestianDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229, United States.
Erika RasnickDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229, United States.
Ruth H KeoghLondon School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT United Kingdom.
Yizhao NiDepartment of Pediatrics, University of Cincinnati, 3333 Burnet Ave, Cincinnati, OH, United States.
John P ClancyDepartment of Pediatrics, University of Cincinnati, 3333 Burnet Ave, Cincinnati, OH, United States.
Patrick RyanDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229, United States.
Rhonda D SzczesniakDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229, United States.

Funding

R01- Mapping environmental contributions to rapid lung disease progression in cystic fibrosisR01HL141286 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI SZCZESNIAK, RHONDA · 2019 to 2023
$2.3M
Medical Research Council MR/S017968/1NHLBI NIH HHS R01 HL141286
6 · The paper itself

Abstract

This study develops a comprehensive method to assess seasonal influences on a longitudinal marker and compare estimates between cohorts. The method extends existing approaches by (i) combining a sine-cosine model of seasonality with a specialized covariance function for modeling longitudinal correlation; (ii) performing mediation analysis on a seasonality model. An example dataset and R code are provided. The bundle of methods is referred to as seasonality, mediation and comparison (SMAC). The case study described utilizes lung function as the marker observed on a cystic fibrosis cohort but SMAC can be used to evaluate other markers and in other disease contexts. Key aspects of customization are as follows.•This study introduces a novel seasonality model to fit trajectories of lung function decline and demonstrates how to compare this model to a conventional model in this context.•Steps required for mediation analyses in the seasonality model are shown.•The necessary calculations to compare seasonality models between cohorts, based on estimation coefficients, are derived in the study.

Indexed as

ClimateCystic fibrosisLongitudinal data analysisLung diseaseMediation analysisRespiratorySine wave modelTemporal analysisTime series

Identifiers

PMID34434833
PMCPMC8374306

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.