Evidence map›Paper›PMID 39230901›Full record

ArticleJAMA network open2024

Growth Rate and Outcomes in Locally Recurrent Extremity and Truncal Soft Tissue Sarcoma.

George Z Li, Kenneth Seier, Li-Xuan Qin, Murray Brennan, Carol D Morris, Aimee M Crago, Samuel Singer

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

7 authors.

George Z LiDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
Kenneth SeierDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Li-Xuan QinDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Murray BrennanDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
Carol D MorrisDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
Aimee M CragoDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
Samuel SingerDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Targeting Oncogenic Pathways in Genetically Complex SarcomasP50CA217694 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Marc Ladanyi · 2018 to 2026
$21.5M
SPORE in Soft Tissue SarcomaP50CA140146 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SPRIGGS, DAVID R · 2010 to 2014
$11.1M
SURGICAL ONCOLOGY RESEARCH TRAINING PROGRAMT32CA009501 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Babak J Mehrara · 1985 to 2026
$7.7M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA140146NCI NIH HHS P50 CA217694NCI NIH HHS T32 CA009501
6 · The paper itself

Abstract

Importance: Improved prognostic tools are needed for patients with locally recurrent extremity or truncal soft tissue sarcoma (STS). Objective: To examine the association between average local recurrence (LR) growth rate and outcomes following resection of locally recurrent extremity or truncal STS. Design, Setting, and Participants: This retrospective cohort study used a prospectively maintained database from a single high-volume tertiary sarcoma referral center in the US to identify patients 16 years of age or older who underwent repeat resection of a locally recurrent extremity or truncal STS between July 1, 1982, and December 31, 2021. Patients with atypical lipomatous tumors, desmoid tumors, dermatofibrosarcoma protuberans, angiosarcomas, and prior or synchronous distant recurrence were excluded. Data were analyzed from November 1, 2022, to June 17, 2024. Exposure: Average LR growth rate, defined as the sum of recurrent tumor maximal diameters divided by the disease-free interval after index operation. Main Outcomes and Measures: The primary outcomes were cumulative incidences of disease-specific death (DSD), with death from other causes as a competing risk, and second LR, with death from any cause as a competing risk. Results: The study cohort included 253 patients (median [IQR] age, 64 [51-73] years; 140 [55.3%] male). The 5-year cumulative incidence of DSD after repeat resection was 29%. Multivariable analysis indicated that LR growth rate (hazard ratio [HR], 1.12 [95% CI, 1.08-1.18]; P < .001), younger age (HR, 0.98 [95% CI, 0.97-0.99]; P = .002), R1 or R2 margins (HR, 1.71 [95% CI, 1.03-2.84]; P = .04), high LR grade (HR, 2.90 [95% CI, 1.17-7.20]; P = .02), and multifocality (HR, 2.92 [95% CI, 1.70-5.00]; P < .001) were independently associated with higher incidence of DSD. Using the minimum P value method, the optimal cutoff for growth rate was found to be 0.68 cm/mo. Patients with values above this cutoff had higher 5-year incidences of DSD following repeat resection (63% vs 19%; permutation test P < .001) and higher amputation rates (19% vs 7%; P = .008). Only R1 margins were independently associated with higher incidence of second LR (HR, 1.81 [95% CI, 1.19-2.78]; P = .006). Conclusions and Relevance: In this cohort study of patients undergoing resection of a locally recurrent extremity or truncal STS, LR growth rate was independently associated with DSD. These findings suggest that patients with growth rates higher than 0.68 cm/mo who undergo LR resection may have high disease-specific mortality and amputation rates and should be considered for perioperative systemic therapy.

Indexed as

ExtremitiesNeoplasm Recurrence, LocalSarcomaAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesSoft Tissue NeoplasmsTorso

Identifiers

PMID39230901
PMCPMC11375480

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Registered trials

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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.