Evidence map›Paper›PMID 33010684›Full record

ArticleEuropean journal of radiology2020

Linear mixed-effects models for predicting sarcoma local recurrence growth rates: Implications for optimal surveillance imaging frequency.

Catherine S King, Ronnie Sebro

Open access · greenAbstract read
In one paragraph

Article in European journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Catherine S KingDepartment of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, United States.
Ronnie SebroDepartment of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, United States; Department of Orthopaedic Surgery, University of Pennsylvania, 3737 Market Street, Philadelphia, PA 19104, United States; Department of Genetics, University of Pennsylvania, 421 Marie Curie Blvd, Philadelphia, PA 19104, United States; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, 423 Guardian Blvd, Philadelphia, PA 19104, United States. Electronic address: Ronnie.sebro@uphs.upenn.edu.
University of Pennsylvania · US

Funding

Genomic analysis of bipolar disorder in a genetic isolateR01MH093415 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BUCAN, MAJA · 2011 to 2014
$3.5M
Genetic Architecture of Autisms without Intellectual DisabilityR21MH120739 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BUCAN, MAJA · 2019 to 2020
$452k
NIMH NIH HHS R01 MH093415NIMH NIH HHS R21 MH120739
6 · The paper itself

Abstract

purposeSarcomas are rare tumours of mesenchymal origin that are often treated with surgical resection and radiation to prevent local recurrence (LR). Surveillance for LR after surgical resection is often done with contrast-enhanced MRI, however, the optimal frequency of surveillance imaging is unknown. The aims of this study are to calculate LR growth, and to evaluate the factors that affect LR growth and to use this data to predict the optimal imaging surveillance frequency.

methodRetrospective cohort study of patients with sarcoma who were treated at a tertiary care academic institution between 01/01/2007 and 01/03/2020 identified 34 patients with 60 histologically confirmed LRs. The maximum LR length was measured on each surveillance MRI. Linear mixed-effects models were used to calculate the maximum LR length growth rate. We evaluated whether age, sex, primary sarcoma tumour size, sarcoma grade, margins, chemotherapy or radiation therapy affected the growth rate of the maximum LR length.

resultsOne patient had 6 LRs (2.9 %), two patients (5.9 %) had 5 LRs, two patients (5.9 %) had 4 LRs, two patients (5.9 %) had 3 LRs, three patients (8.8 %) had 2 LRs, and twenty-four patients (70.6 %) had 1 LR. Most patients had high grade (Grade II/III) disease (88.2 %). 41.2 % of the patients had microscopically positive surgical margins. The median time (range) from surgery to LR was 264 days (17 - 8013) days, and 90 % occurred within 42.8 months (1284 days). Microscopically positive margins were associated with faster growth of the maximum LR length (P = 0.036). Assuming that a 1 cm sarcoma LR is actionable and that the previous surveillance MRI was negative, the data predicts that patients with microscopically positive margins should have surveillance MRIs every 6.2 months when LRs are expected to achieve a length of 1.0 cm (95 % CI (0.4-2.3 cm)).

conclusionsPatients with microscopically positive resection margins had LRs that grew faster than patients with negative margins. Surveillance imaging with contrast-enhanced MRI could be conservatively performed every 6 months when LRs are expected to be just less than 1.0 cm in length.

Indexed as

SarcomaSoft Tissue NeoplasmsHumansMargins of ExcisionNeoplasm Recurrence, LocalRetrospective StudiesGrowth rateLocal recurrenceMagnetic resonance imagingPositive marginsSarcomaSurveillance

Identifiers

PMID33010684
PMCPMC11715554
OpenAlexW3089799477

What OpenQuestion holds

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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.