Evidence map›Paper›PMID 37170205›Full record

ArticleBMC medical research methodology2023

Exploring flexible polynomial regression as a method to align routine clinical outcomes with daily data capture through remote technologies.

Nicole Filipow, Eleanor Main, Gizem Tanriver, Emma Raywood, Gwyneth Davies, Helen Douglas, Aidan Laverty, Sanja Stanojevic

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical research methodology, 2023. 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
1.8field-weighted citation impact, top 14% 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, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Observational
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

8 authors at 3 institutions in 2 countries.

Nicole FilipowUCL Great Ormond Street Institute of Child Health, University College London, 30 Guilford Street, London, WC1N 1EH, UK. nicole.filipow.18@ucl.ac.uk.
Eleanor MainUCL Great Ormond Street Institute of Child Health, University College London, 30 Guilford Street, London, WC1N 1EH, UK.
Gizem TanriverUCL Great Ormond Street Institute of Child Health, University College London, 30 Guilford Street, London, WC1N 1EH, UK.
Emma RaywoodUCL Great Ormond Street Institute of Child Health, University College London, 30 Guilford Street, London, WC1N 1EH, UK.
Gwyneth DaviesUCL Great Ormond Street Institute of Child Health, University College London, 30 Guilford Street, London, WC1N 1EH, UK.
Helen DouglasUCL Great Ormond Street Institute of Child Health, University College London, 30 Guilford Street, London, WC1N 1EH, UK.
Aidan LavertyGreat Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Sanja StanojevicCommunity Health and Epidemiology, Dalhousie University, Halifax, NS, Canada.
Great Ormond Street Hospital for Children NHS Foundation Trust · GBUniversity College London · GBDalhousie University · CA

Funding

Department of Health
6 · The paper itself

Abstract

backgroundClinical outcomes are normally captured less frequently than data from remote technologies, leaving a disparity in volumes of data from these different sources. To align these data, flexible polynomial regression was investigated to estimate personalised trends for a continuous outcome over time.

methodsUsing electronic health records, flexible polynomial regression models inclusive of a 1st up to a 4th order were calculated to predict forced expiratory volume in 1 s (FEV

resultsThere were 8,549 FEV

conclusionFlexible polynomials can be used to extrapolate clinical outcome measures at frequent time intervals to align with daily data captured through remote technologies.

Indexed as

Cystic FibrosisModels, StatisticalChildForced Expiratory VolumeHumansChronic diseaseClinical outcomesMissing dataPolynomial regressionRemote patient monitoring

Identifiers

PMID37170205
PMCPMC10176913
OpenAlexW4376223952

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.