Evidence map›Paper›PMID 22923630›Full record

ArticleBMJ open2012

Equal cancer treatment regardless of education level and family support? A qualitative study of oncologists' decision-making.

Nina Cavalli-Björkman, Bengt Glimelius, Peter Strang

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2012. 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
5.4field-weighted citation impact, top 4% 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, 26 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

3 authors at 2 institutions in 1 country.

Nina Cavalli-BjörkmanDepartment of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala, Sweden.
Bengt Glimelius
Peter Strang
Karolinska Institutet · SEUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTreatment gradients by socioeconomic status have been observed within cancer care in several countries. The objective of this study was to explore whether patients' educational level and social network influence oncologists' clinical decision-making.

designSemi-structured interviews on factors considered when deciding on treatment for cancer patients. Interviews were transcribed and analysed using inductive qualitative content analysis.

settingOncologists in Swedish university- and non-university hospitals were interviewed in their respective places of work.

participantsTwenty Swedish clinical oncologists selected through maximum-variation sampling. PRIMARY AND SECONDARY OUTCOME MEASURES: Elements which influence oncologists' decision-making process were explored with focus on educational level and patients' social support systems.

resultsOncologists consciously used less combination chemotherapy for patients living alone, fearing treatment toxicity. Highly educated patients were considered as well-read, demanding and sometimes difficult to reason with. Patients with higher education, those very keen to have treatment and persuasive relatives were considered as challenges for the oncologist. Having large groups of relatives in a room made doctors feel outnumbered. A desire to please patients and relatives was posed as the main reason for giving in to patients' demands, even when this resulted in treatment with limited efficacy.

conclusionsOncologists tailor treatment for patients living alone to avoid harmful side-effects. Many find patients' demands difficult to handle and this may result in strong socioeconomic groups being over-treated.

Identifiers

PMID22923630
PMCPMC3432847
OpenAlexW2128126937

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.