Evidence map›Paper›PMID 32109996›Full record

ArticlePatient preference and adherence2020

Qualitative Study of Factors Affecting Patient, Caregiver and Physician Preferences for Treatment of Myeloma and Indolent Lymphoma.

Wei-Ying Jen, Joanne Yoong, Xin Liu, Melinda Si Yun Tan, Wee Joo Chng, Yen-Lin Chee

Abstract read
In one paragraph

Article in Patient preference and adherence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Wei-Ying JenDepartment of Haematology-Oncology, National University Cancer Institute, Singapore.ORCID 0000-0002-9339-3362
Joanne YoongCentre for Health Services and Policy Research, Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
Xin LiuDepartment of Haematology-Oncology, National University Cancer Institute, Singapore.ORCID 0000-0003-4172-5238
Melinda Si Yun TanDepartment of Haematology, Singapore General Hospital, Singapore.
Wee Joo ChngDepartment of Haematology-Oncology, National University Cancer Institute, Singapore.
Yen-Lin CheeDepartment of Haematology-Oncology, National University Cancer Institute, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe number of treatment options for myeloma and indolent lymphoma are expanding at an exponential rate, with few direct head-to-head comparisons on which to base efficacy measures. We sought to understand how patients, their caregivers and physicians weigh treatment characteristics in order to come to a decision on which treatment option to pursue.

methodsPatients, their caregivers and physicians were recruited and interviewed until data saturation was reached. A qualitative, thematic analysis was done to identify themes important to each stakeholder.

resultsWe found that, while all three groups valued efficacy the most, the consideration of other secondary characteristics of the treatment, such as cost, toxicity and logistical issues all differed subtly between the different groups. Patients valued minimising cost and toxicity, even at small trade-offs in efficacy. Caregivers and physicians valued efficacy foremost.

conclusionAcknowledging and managing these differences is paramount because they influence shared decision-making and may affect patient outcomes in the short term, as well as their more general well-being in the long term.

Indexed as

lymphomamyelomapatient preferencestreatment options

Identifiers

PMID32109996
PMCPMC7034971

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.