Evidence map›Paper›PMID 28747130›Full record

ArticleActa radiologica (Stockholm, Sweden : 1987)2018

Body composition predictors of therapy response in patients with primary extremity soft tissue sarcomas.

Karen De Amorim Bernstein, Stijn A Bos, Joyce Veld, Santiago A Lozano-Calderon, Martin Torriani, Miriam A Bredella

Abstract read
In one paragraph

Article in Acta radiologica (Stockholm, Sweden : 1987), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Body Composition Predictors of Adverse Postoperative Events in Patients Undergoing Surgery for Long Bone Metastases.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2022
    Article
  10. Article
  11. Article
  12. 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

6 authors at 2 institutions in 1 country.

Karen De Amorim Bernstein1 Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Stijn A Bos2 Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Joyce Veld2 Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Santiago A Lozano-Calderon3 Musculoskeletal Oncology Service, Department of Orthopedic Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Martin Torriani2 Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Miriam A Bredella2 Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Massachusetts General Hospital · USHarvard University · US

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI STEVEN K. GRINSPOON · 1994 to 2026
$31.6M
Bone Metabolism in Adolescents UndergoingBariatric SurgeryK24DK109940 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI BREDELLA, MIRIAM ANTOINETTE · 2017 to 2021
$970k
NIDDK NIH HHS K24 DK109940NIDDK NIH HHS P30 DK040561
6 · The paper itself

Abstract

Background Recent studies have suggested that the quantity and quality of adipose tissue and muscle, assessed on non-contrast computed tomography (CT), may serve as imaging biomarkers of survival in patients with and without neoplasms. Purpose To assess body composition measures that could serve as predictors of therapy response in patients with extremity soft tissue sarcomas treated with radiation therapy and surgery. Material and Methods The study was IRB-approved. Sixty patients had a history of extremity soft tissue sarcoma and underwent FDG-PET/CT prior to radiation therapy and surgical resection. Cross-sectional areas and CT attenuation (HU) of abdominal subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and psoas muscle were assessed on non-contrast CT. Clinical information on predictors of tumor recurrence and post-surgical wound infections were recorded. Cox proportional hazard models were used to determine longitudinal associations between body composition and tumor recurrence/wound infections. Results Twenty-three tumor recurrences occurred over a follow-up period of 43 ± 35 months. Higher SAT and lower psoas attenuation were associated with tumor recurrence which remained significant after adjustment for covariates ( P ≤ 0.01). There were 13 post-surgical wound infections. Higher VAT and SAT attenuation were associated with post-surgical wound infections ( P < 0.04); however, VAT attenuation lost significance after adjustment for covariates. Conclusion Abdominal adipose tissue and psoas muscle attenuation assessed on non-contrast CT may predict tumor recurrence and post-surgical infections in patients with extremity soft tissue sarcomas.

Indexed as

Body CompositionAdipose TissueExtremitiesFemaleFollow-Up StudiesHumansMaleMiddle AgedNeoplasm Recurrence, LocalRetrospective StudiesSarcomaSurvival AnalysisTomography, X-Ray ComputedTreatment Outcomeadipose tissue attenuationcomputed tomography (CT)muscle attenuationSoft tissue sarcomatumor recurrence

Identifiers

PMID28747130
PMCPMC6063528
OpenAlexW2740217884

What OpenQuestion holds

Textmetadata
LicenceTDM
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.