Evidence map›Paper›PMID 31277671›Full record

ArticleJournal of cardiothoracic surgery2019

Fit 4 surgery, a bespoke app with biofeedback delivers rehabilitation at home before and after elective lung resection.

Salma Bibi Kadiri, Amy Pamela Kerr, Nicola Katy Oswald, Alina-Maria Budacan, Sarah Flanagan, Christopher Golby, Stuart Lightfoot, Babu Naidu

Open access · goldAbstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Effects of a functional training prehabilitation program supported by the Prehab® App on functional capacity in preoperative oncological patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  11. Predictive relationship in perioperative symptoms and step count for lung cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  12. [App-based prehabilitation: implementation and adherence].Chirurgie (Heidelberg, Germany) · 2025
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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 4 institutions in 1 country.

Salma Bibi KadiriDepartment of Thoracic Surgery Research, Heartlands Hospital, Bordesley Green East, Birmingham, B9 5SS, UK.
Amy Pamela KerrDepartment of Thoracic Surgery Research, Heartlands Hospital, Bordesley Green East, Birmingham, B9 5SS, UK.
Nicola Katy OswaldInstitute of Inflammation and Ageing, College of Medical and Dental Sciences, Centre for Translational Inflammation Research, University of Birmingham Laboratories, Queen Elizabeth Hospital Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
Alina-Maria BudacanDepartment of Thoracic Surgery Research, Heartlands Hospital, Bordesley Green East, Birmingham, B9 5SS, UK.
Sarah FlanaganInstitute of Applied Health Research, University of Birmingham, Edgbaston, B15 2TT, UK.
Christopher GolbyEvolyst- The Innovation Centre, Warwick Technology Park, Gallows Hill, Warwick, CV34 6UW, UK.
Stuart LightfootDepartment of Thoracic Surgery Research, Heartlands Hospital, Bordesley Green East, Birmingham, B9 5SS, UK.
Babu NaiduDepartment of Thoracic Surgery Research, Heartlands Hospital, Bordesley Green East, Birmingham, B9 5SS, UK. b.naidu@bham.ac.uk.
Heartlands Hospital · GBUniversity of Birmingham · GBQueen Elizabeth Hospital Birmingham · GBUniversity of Warwick Science Park · GB

Funding

The Health Foundation Grant number: CRM 1838 GIFTS 7471
6 · The paper itself

Abstract

backgroundPulmonary rehabilitation programme for lung surgery patients can reduce the risk of post-operative complications but compliance to programmes can be limited by access to health care. We developed a home-based rehabilitation app and tested its feasibility in patients undergoing lung resection surgery.

methodsA cohort study was conducted over 18 months at a regional thoracic unit. The Fit 4 Surgery app included ten exercises. Patients were instructed to exercise for at least three minutes for each exercise. Data was transmitted back to the researchers remotely. Data was also collected from a contemporaneous group of surgery patients who attended local outpatient-based Chronic Obstructive Pulmonary Disease rehabilitation classes. Quality of Life and outcomes data in the app group were collected. Patients were also interviewed about their experience of the app.

resultsApp patients had a shorter wait before surgery compared to patients attending rehabilitation classes (24 vs 45 days) but managed four times as many sessions (2 vs 9), improving incremental shuttle walk test distance by 99 ± 83 (p < 0.05) metres before surgery. Five themes were gathered from the interviews.

conclusionAn app based programme of rehabilitation can be delivered in a timely fashion to lung surgery patients with demonstrable physiological benefits; this will need to be confirmed in further clinical trials. CLINICAL TRIAL REGISTRATION NUMBER: ISRCTN00061628. Registered 27 May 2011.

Indexed as

Exercise TherapyMobile ApplicationsAgedBiofeedback, PsychologyCohort StudiesElective Surgical ProceduresFeasibility StudiesFemaleHumansMaleMiddle AgedPatient CompliancePneumonectomyPostoperative PeriodPreoperative PeriodPulmonary Disease, Chronic ObstructiveExerciseInterventionLung CancerPulmonary rehabilitationQuality of lifeTechnologyThoracic surgery

Identifiers

PMID31277671
PMCPMC6611050
OpenAlexW2954363422

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.