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Record W3046247864 · doi:10.1002/jcsm.12604

Sarcopenia and low muscle radiodensity associate with impaired FEV<sub>1</sub> in allogeneic haematopoietic stem cell transplant recipients

2020· article· en· W3046247864 on OpenAlex
Asmita Mishra, Kevin Bigam, Martine Extermann, Rawan Faramand, Kerry Thomas, Joseph A. Pidala, Vickie E. Baracos

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Cachexia Sarcopenia and Muscle · 2020
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsUniversity of Alberta
FundersNational Cancer InstituteAlberta Cancer FoundationCanadian Institutes of Health ResearchMoffitt Cancer Center
KeywordsMedicineSarcopeniaSpirometryInternal medicineConfidence intervalTransplantationLung cancerGastroenterologySurgeryAsthma

Abstract

fetched live from OpenAlex

Abstract Background Quantification of skeletal muscle using computed tomography (CT) is accessible using cancer patients' standard oncologic images. Reduced muscle mass may be related to reduced respiratory muscle strength; however, the impact of this on lung functional parameters is not characterized in adult allogeneic haematopoietic stem cell transplant (alloHCT) recipients. Methods A consecutive retrospective series ( n = 296) of patients who had alloHCT at a comprehensive cancer centre between March 2005 and April 2015 were included. Pre‐transplant CT scans were used to quantify skeletal muscle and adipose tissue at the fourth thoracic (T4) and/or third lumbar (L3) level. Tumour and patient characteristics were recorded, including forced expiratory volume in 1 second (FEV 1 ) by spirometry. Regression models were created to characterize predictive relationships. Results A total of 296 patients (♂ n = 161; ♀ n = 135) were included, all of whom had chest CT as part of standard care; a subset of these ( n = 215, 72.6%) also had abdominal CT. Diagnoses were non‐Hodgkins lymphoma ( n = 165), acute myeloid leukaemia ( n = 66), Hodgkin's disease ( n = 14), acute lymphocytic leukaemia ( n = 14), myelodysplastic syndromes ( n = 18), and other ( n = 19). In multivariable linear regression adjusted for sex ( P &lt; 0.0001), age ( P &lt; 0.0001), haematopoietic cell transplantation‐specific co‐morbidity index ( P = 0.010), and parameters of pulmonary function testing (defined by spirometry, P &lt; 0.0001), both T4 muscle index [ β 0.127 (95% confidence interval 0.019; 0.252), P &lt; 0.0001] and T4 muscle radiodensity [ β 0.132 (95% confidence interval 0.087; 0.505), P = 0.006] were independently associated with FEV 1 ; disease risk index ( P = 0.877) and Karnofsky performance status ( P = 0.548) were not associated with FEV 1 . Similar conclusions were obtained when L3 muscle index and radiodensity were considered. Unlike T4, L3 muscle index values can be compared with published cut‐off values for sarcopenia. Overall rates of sarcopenia were uniformly higher in the HCT population than in age‐matched and sex‐matched patients with solid tumours [alloHCT ♂64.7% vs. solid tumour ♂56.6% ( P &lt; 0.001); alloHCT ♀57.6% vs. solid tumour ♀36.0% ( P &lt; 0.001)]. Significant but moderate correlations ( P &lt; 0.001) were found for muscle area and radiodensity between L3 and T4, for both men and women; adipose tissue quantity also correlated significantly ( P &lt; 0.001) between L3 and T4 for both men and women. Conclusions Lumbar or thoracic CT images are useful for body composition assessment in this population and reveal high rates of sarcopenia, similar to those reported in very elderly patients. Reduced muscle mass and radiodensity associate with impaired FEV 1 even after adjustment for clinical covariables including co‐morbidities, performance status, disease risk, and mild intrinsic pulmonary disease (chronic obstructive pulmonary disease) defined by spirometry.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.245
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it