Evidence map›Paper›PMID 33126875›Full record

ArticleBMC pulmonary medicine2020

New strategies of physical activity assessment in cystic fibrosis: a pilot study.

Daniela Savi, Luigi Graziano, Barbara Giordani, Stefano Schiavetto, Corrado De Vito, Giuseppe Migliara, Nicholas J Simmonds, Paolo Palange, J Stuart Elborn

Open access · goldAbstract read
In one paragraph

Article in BMC pulmonary medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 29% 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, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. The 2025 European Cystic Fibrosis Society position statement on physical activity assessment in cystic fibrosis.European respiratory review : an official journal of the European Respiratory Society · 2025
    Guideline
  3. Telemedicine and Its Application in Cystic Fibrosis.Journal of personalized medicine · 2023
    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

9 authors at 4 institutions in 2 countries.

Daniela SaviDepartment of Public Health and Infectious Diseases, "Sapienza" University of Rome, 00185, Rome, Italy. daniela.savi@uniroma1.it.ORCID http://orcid.org/0000-0001-5053-2177
Luigi GrazianoDepartment of Public Health and Infectious Diseases, "Sapienza" University of Rome, 00185, Rome, Italy.
Barbara GiordaniLega Italiana Fibrosi Cistica ONLUS-LIFC, Rome, Italy.
Stefano SchiavettoDepartment of Public Health and Infectious Diseases, "Sapienza" University of Rome, 00185, Rome, Italy.
Corrado De VitoDepartment of Public Health and Infectious Diseases, "Sapienza" University of Rome, 00185, Rome, Italy.
Giuseppe MigliaraDepartment of Public Health and Infectious Diseases, "Sapienza" University of Rome, 00185, Rome, Italy.
Nicholas J SimmondsAdult Cystic Fibrosis Centre, Royal Brompton Hospital and Imperial College, London, SW3 6NP, UK.
Paolo PalangeDepartment of Public Health and Infectious Diseases, "Sapienza" University of Rome, 00185, Rome, Italy.
J Stuart ElbornFaculty of Medicine, Health and Life Sciences, Queen's University Belfast, Belfast, UK.
Sapienza University of Rome · ITRoyal Brompton Hospital · GBFondazione Italiana Fegato · ITQueen's University Belfast · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRegular physical activity (PA) is a valued part of cystic fibrosis (CF) care. Although the accelerometer, SenseWear Armband (SWA), accurately measures habitual PA in CF, it is mostly used for research purposes. For the first time, we analyzed different methods of measuring PA in daily life by the use of smartphones and other electronic devices such as smartwatch and Fitbit.

methodsTwenty-four stable adults with CF (mean age 37.5 ± 11.5SD yrs.; FEV

resultsThere was a good agreement between SWA and Fitbit for number of steps (p = 0.605) and energy expenditure (p = 0.143). iOS smartphones were similar to SWA in monitoring the number of steps (p = 0.911). Significant differences were found between SWA and both Smartwatch and Android smartphones.

conclusionsFitbit and iOS smartphones seem to be a valuable approach to monitor daily PA. They provide a good performance to measure step number compared to SWA.

Indexed as

ExerciseTelemedicineAccelerometryActivities of Daily LivingAdultCystic FibrosisEnergy MetabolismFemaleHumansMaleMiddle AgedMonitoring, AmbulatoryPilot ProjectsRespiratory Function TestsSurveys and QuestionnairesAccelerometerCystic fibrosisDaily physical activityElectronic devices

Identifiers

PMID33126875
PMCPMC7599110
OpenAlexW3094912547

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.