Evidence map›Paper›PMID 32152780›Full record

ArticleAnnals of surgical oncology2020

Designing a Rational Follow-Up Schedule for Patients with Extremity Soft Tissue Sarcoma.

David A J Wilson, Aaron Gazendam, Julia Visgauss, David Perrin, Anthony M Griffin, Peter W Chung, Charles N Catton, David Shultz, Peter C Ferguson, Jay S Wunder

Abstract read
PubMed Publisher
In one paragraph

Article in Annals of surgical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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

13 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. Myxoid Liposarcoma: How to Stage and Follow.Current treatment options in oncology · 2023
    Review
  9. Review
  10. Article
  11. Synovial Sarcoma: A Clinical Review.Current oncology (Toronto, Ont.) · 2021
    Review
  12. Article
  13. 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

10 authors at 6 institutions in 2 countries.

David A J WilsonDivision of Orthopaedic Surgery, Department of Surgery, Juravinski Cancer Centre, McMaster University, Hamilton, ON, Canada. wilsondaj@gmail.com.
Aaron GazendamDivision of Orthopaedic Surgery, Department of Surgery, McMaster University, Hamilton, ON, Canada.
Julia VisgaussDepartment of Orthopedic Surgery, Duke University Medical Center, Duke University, Durham, NC, USA.
David PerrinUniversity Musculoskeletal Oncology Unit, Division of Orthopaedic Surgery, Department of Surgery, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada.
Anthony M GriffinUniversity Musculoskeletal Oncology Unit, Division of Orthopaedic Surgery, Department of Surgery, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada.
Peter W ChungPrincess Margaret Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada.
Charles N CattonPrincess Margaret Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada.
David ShultzPrincess Margaret Cancer Centre, Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada.
Peter C FergusonUniversity Musculoskeletal Oncology Unit, Division of Orthopaedic Surgery, Department of Surgery, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada.
Jay S WunderUniversity Musculoskeletal Oncology Unit, Division of Orthopaedic Surgery, Department of Surgery, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada.
Mount Sinai Hospital · CAUniversity of Toronto · CADuke Medical Center · USJuravinski Cancer Centre · CAMcMaster University · CAPrincess Margaret Cancer Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe risk of tumor recurrence after resection of soft tissue sarcoma (STS) necessitates surveillance in follow-up. The objective of this study was to determine the frequency/timing of metastasis and local recurrence following treatment for soft tissue sarcoma, and to use these data to justify an evidence-based follow-up schedule.

methodsUtilizing a prospective database, a retrospective single center review was performed of all patients with minimum 2-year follow-up after resection of a localized extremity STS. Kaplan-Meier estimates were used to calculate the incidence of local recurrence and metastases on an annual basis for 10 years.

resultsWe identified a total of 230 low-grade, 626 intermediate-grade and 940 high-grade extremity STS and a total of 721 events, 150 local recurrences and 571 metastases. Based on tumor size and grade, follow-up cohorts were developed that had similar metastatic risk. Using pre-determined thresholds for metastatic event, a follow-up schedule was established for each cohort.

conclusionBased on our results we recommend that patients with small low-grade tumors undergo annual follow-up for 5 years following definitive local treatment. Patients with large low-grade tumors, small intermediate-grade and small high-grade tumors should have follow-up every 6 months for the first 2 years, then yearly to 10 years. Only patients with large intermediate- or high-grade tumors require follow-up every 3 months for the first 2 years, then every 6 months for years 3-5, followed by annually until 10 years.

Indexed as

Evidence-Based MedicineAdultAgedDiagnostic ImagingDisease-Free SurvivalDisease ProgressionExtremitiesFemaleFollow-Up StudiesHumansIncidenceKaplan-Meier EstimateMaleMiddle AgedNeoplasm GradingNeoplasm Metastasis

Identifiers

PMID32152780
OpenAlexW3010994115

What OpenQuestion holds

Textmetadata
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.