Evidence map›Paper›PMID 28588396›Full record

ArticleSarcoma2017

Results of a Qualitative Study to Develop a Patient Reported Outcome Measure for Patients with 4 Subtypes of Soft Tissue Sarcoma.

Anne M Skalicky, Sameer R Ghate, Jose Ricardo Perez, Anne M Rentz

Abstract read
In one paragraph

Article in Sarcoma, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. Observational
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  10. Development of a patient-reported experience questionnaire for patients with sarcoma: the Sarcoma Assessment Measure (SAM).Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
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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

4 authors.

Anne M SkalickyEvidera, Seattle, WA, USA.ORCID 0000-0001-9865-3824
Sameer R GhateNovartis Oncology, East Hanover, NJ, USA.
Jose Ricardo PerezNovartis Oncology, East Hanover, NJ, USA.
Anne M RentzEvidera, Bethesda, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this research was to develop a disease-specific symptom inventory for soft tissue sarcoma.

methodsLiterature review and clinical expert and patient interviews were conducted to determine disease-specific symptoms important to patients with one of the four STS subtypes. Clinical experts identified the most relevant STS symptom items from the item pool developed from literature review. Concept elicitation interviews were conducted with patients to elicit their STS symptom experiences followed by a completion of the draft symptom list via web survey. A cognitive interview was conducted on the comprehension and importance of the symptom items.

resultsEighty-three symptom items were compiled and discussed with three clinical experts who identified 26 symptoms specific to the four STS subtypes. A total sample of 27 STS participants with self-reported leiomyosarcoma (74%), undifferentiated sarcoma (15%), synovial sarcoma (7%), or liposarcoma (4%) diagnosis completed the web survey and 10 were interviewed. The draft 12-item STS-specific symptom inventory includes abdominal pain, pressure in abdomen, early satiety, bloating, gastrointestinal pain, muscle pain, bone pain, heavy menstrual flow, shortness of breath, chest pain, cough, and painful menstruation.

conclusionA number of symptoms are common across STS subtypes and may form a single STS symptom inventory.

Identifiers

PMID28588396
PMCPMC5446879

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.