Evidence map›Paper›PMID 33964632›Full record

ArticleEuropean journal of oncology nursing : the official journal of European Oncology Nursing Society2021

Development of a patient-reported outcome tool for assessing symptom burden during perioperative care in liver surgery: The MDASI-PeriOp-Hep.

Xin Shelley Wang, Qiuling Shi, Loretta A Williams, Heather A Lillemoe, Ting-Yu Chen, Vijaya Gottumukkala, Araceli Garcia-Gonzalez, Donna Malveaux, Mona Kamal, Charles S Cleeland and 1 more

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Article in European journal of oncology nursing : the official journal of European Oncology Nursing Society, 2021. 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
0.5field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

11 authors at 2 institutions in 2 countries.

Xin Shelley WangDepartment of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: xswang@mdanderson.org.
Qiuling ShiDepartment of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Loretta A WilliamsDepartment of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Heather A LillemoeDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ting-Yu ChenDepartment of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Vijaya GottumukkalaDepartment of Anesthesia and Perioperative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Araceli Garcia-GonzalezDepartment of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Donna MalveauxDepartment of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Mona KamalDepartment of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Clinical Oncology, Ain Shams University, Cairo, Egypt.
Charles S CleelandDepartment of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Thomas A AloiaInstitute for Cancer Care Innovation, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
The University of Texas MD Anderson Cancer Center · USAin Shams University · EG

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Improving Recovery after Major Cancer Surgery using Patient-Reported OutcomesR01CA205146 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WANG, XIN SHELLEY · 2016 to 2019
$2.6M
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA205146
6 · The paper itself

Abstract

purposeBased on the MD Anderson Symptom Inventory (MDASI), we developed a Patient-reported outcomes tool for hepatectomy perioperative care (MDASI-PeriOp-Hep).

methodsTo establish the content validity, we generated PeriOp-Hep-specific candidate items from qualitative interviews of patients (n = 30), and removed items that lacked clinical relevance on the basis of input from panels of patients, caregivers, and clinicians. The psychometric properties of the MDASI-PeriOp-Hep were validated (n = 150). The cognitive debriefing and clinical interpretability were assessed to confirm the ease of comprehension, relevance, and acceptability of the tool.

resultsFive symptoms specific to hepatectomy (abdominal bloating, tightness, or fullness; abdominal cramping; muscle weakness, instability, or vertigo; constipation; and incisional tightness) were identified as module items to form the MDASI-PeriOp-Hep. The Cronbach αs for symptoms and for interference were 0.898 and 0.861, respectively. The test-retest reliability was 0.887 for all 18 symptom severity items. Compared to other commonly used tools, correlation of MDASI-PeriOp-Hep scores to performance status (all, P < 0.001) and to the phase of perioperative care confirmed known-group validity. Convergent validity was excellent against other standard Patient-reported outcomes tools. Cognitive debriefing demonstrated that the MDASI-PeriOp-Hep was an easy to use and understandable tool.

conclusionsFor integrating patient-reported outcomes in perioperative patient care, a procedure-specific tool is desirable. The MDASI-PeriOp-Hep is a valid, reliable, concise tool for measuring symptom severity and functional interference in patients undergoing liver surgery.

Indexed as

Patient Reported Outcome MeasuresPerioperative CareHumansLiverReproducibility of ResultsSeverity of Illness IndexCancerFunctional recoveryLiver surgeryMDASIPatient-reported outcomePerioperative careSymptom burdenValidation

Identifiers

PMID33964632
PMCPMC8650165
OpenAlexW3157897331

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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.