Evidence map›Paper›PMID 34580100›Full record

ArticleBMJ open2021

Predicting muscle loss during lung cancer treatment (PREDICT): protocol for a mixed methods prospective study.

Nicole K Kiss, Linda Denehy, Lara Edbrooke, Carla M Prado, David Ball, Shankar Siva, Gavin Abbott, Anna Ugalde, Steve F Fraser, Sarah Everitt and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Article
  4. 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

13 authors at 4 institutions in 2 countries.

Nicole K KissInstitute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia nicole.kiss@deakin.edu.au.ORCID 0000-0002-6476-9834
Linda DenehyAllied Health Department, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Lara EdbrookeAllied Health Department, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Carla M PradoDepartment of Agricultural, Food and Nutrition Science, University of Alberta, Edmonton, Alberta, Canada.
David BallDepartment of Radiation Oncology, Peter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Shankar SivaDepartment of Radiation Oncology, Peter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Gavin AbbottInstitute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia.
Anna UgaldeSchool of Nursing and Midwifery and Institute of Health Transformation, Deakin University, Geelong, Victoria, Australia.ORCID 0000-0002-2473-8435
Steve F FraserInstitute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia.
Sarah EverittSir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0001-6785-0067
Nicholas HardcastleDepartment of Physical Sciences, Peter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Andrew WirthDepartment of Radiation Oncology, Peter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Robin M DalyInstitute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia.
Deakin University · AUThe University of Melbourne · AUPeter MacCallum Cancer Centre · AUUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLow muscle mass and low muscle attenuation (radiodensity), reflecting increased muscle adiposity, are prevalent muscle abnormalities in people with lung cancer receiving curative intent chemoradiation therapy (CRT) or radiation therapy (RT). Currently, there is a limited understanding of the magnitude, determinants and clinical significance of these muscle abnormalities in the lung cancer CRT/RT population. The primary objective of this study is to identify the predictors of muscle abnormalities (low muscle mass and muscle attenuation) and their depletion over time in people with lung cancer receiving CRT/RT. Secondary objectives are to assess the magnitude of change in these parameters and their association with health-related quality of life, treatment completion, toxicities and survival. METHODS AND ANALYSIS: Patients diagnosed with lung cancer and planned for treatment with CRT/RT are invited to participate in this prospective observational study, with a target of 120 participants. The impact and predictors of muscle abnormalities (assessed via CT at the third lumbar vertebra) prior to and 2 months post CRT/RT on the severity of treatment toxicities, treatment completion and survival will be assessed by examining the following variables: demographic and clinical factors, weight loss, malnutrition, muscle strength, physical performance, energy and protein intake, physical activity and sedentary time, risk of sarcopenia (Strength, Assistance in walking, Rise from a chair, Climb stairs, Falls history (SARC-F) score alone and with calf-circumference) and systemic inflammation. A sample of purposively selected participants with muscle abnormalities will be invited to take part in semistructured interviews to understand their ability to cope with treatment and explore preference for treatment strategies focused on nutrition and exercise. ETHICS AND DISSEMINATION: The PREDICT study received ethics approval from the Human Research Ethics Committee at Peter MacCallum Cancer Centre (HREC/53147/PMCC-2019) and Deakin University (2019-320). Findings will be disseminated through peer review publications and conference presentations.

Indexed as

Lung NeoplasmsSarcopeniaHumansMusclesObservational Studies as TopicProspective StudiesQuality of Lifeadult oncologyadult radiotherapycomputed tomographynutritional supportnutrition & dieteticsrespiratory tract tumours

Identifiers

PMID34580100
PMCPMC8477324
OpenAlexW3203890860

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.