Evidence map›Paper›PMID 31217518›Full record

ArticleSpinal cord2019

Development and validation of models to predict respiratory function in persons with long-term spinal cord injury.

Anja M Raab, Sonja de Groot, David J Berlowitz, Marcel W M Post, Jacinthe Adriaansen, Maria Hopman, Gabi Mueller

Open access · hybridAbstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Spinal cord, 2019. 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
0.5field-weighted citation impact, top 30% 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, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
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

7 authors at 6 institutions in 3 countries.

Anja M RaabClinical Trial Unit, Swiss Paraplegic Centre, Nottwil, Switzerland. anja.raab@paraplegie.ch.
Sonja de GrootAmsterdam Rehabilitation Research Center, Reade, Amsterdam, The Netherlands.
David J BerlowitzInstitute for Breathing and Sleep, Austin Health, Heidelberg, Australia.ORCID http://orcid.org/0000-0003-2543-8722
Marcel W M PostCenter of Excellence for Rehabilitation Medicine, Brain Center Rudolf Magnus, University, Medical Center Utrecht and De Hoogstraat Rehabilitation, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-2205-9404
Jacinthe AdriaansenCenter of Excellence for Rehabilitation Medicine, Brain Center Rudolf Magnus, University, Medical Center Utrecht and De Hoogstraat Rehabilitation, Utrecht, The Netherlands.
Maria HopmanDepartment of Physiology, Radboud University Nijmegen, Nijmegen, The Netherlands.
Gabi MuellerClinical Trial Unit, Swiss Paraplegic Centre, Nottwil, Switzerland.ORCID http://orcid.org/0000-0001-6391-3737
University Medical Center Groningen · NLInstitute for Breathing and Sleep · AURadboud University Nijmegen · NLSwiss Paraplegic Center · CHSwiss Paraplegic Research · CHUniversity Medical Center Utrecht · NL

Funding

Wings for Life (Wings for Life Research Foundation) WFL-CH-017/14
6 · The paper itself

Abstract

STUDY

designMulticenter, cross-sectional study.

objectivesTo validate previously developed respiratory function prediction models for persons with long-term spinal cord injury (SCI) and if necessary develop and validate new models.

settingTen SCI rehabilitation centers.

methodsFive respiratory function parameters were measured in adults with chronic, traumatic, motor complete SCI (C4-T12). First, the models published in 2012 were validated using Bland-Altman plots. Then, new models were calculated using 80% of the dataset by multiple regression analysis with the candidate predictors gender, age, height, weight, time post injury (TPI), lesion level, and smoking. In a third step, the new models were validated using the other 20% of the dataset by Bland-Altman plots.

resultsIn total 613 participants were included. For persons with long-term SCI, the 2012 models were poorly predictive, especially for respiratory muscle strength (R2 = 0.4). Significant predictors for all respiratory function parameters in the new models (R2 = 0.7-0.8) were lesion level, gender and weight. Small effects on single outcome parameters were observed for TPI and age whereas smoking had no effect. For the new models the mean differences between measured and predicted values for respiratory muscle strength were 4.0 ± 36.0 cm H

conclusionWe did not find better models for lung function in long-term SCI but those for respiratory muscle strength showed better accuracy. SPONSORSHIP: The content of this publication was developed under grant from Wings for Life, grant number WFL-CH-017/14.

Indexed as

Models, TheoreticalActivities of Daily LivingAdultAustraliaCross-Sectional StudiesFemaleHumansMaleMiddle AgedNetherlandsPredictive Value of TestsReproducibility of ResultsRespiratory Function TestsRespiratory MechanicsSpinal Cord InjuriesSwitzerland

Identifiers

PMID31217518
OpenAlexW2949395712

What OpenQuestion holds

Textmetadata
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.