Evidence map›Paper›PMID 26163015›Full record

ArticleBMC cancer2015

Noncompliance to guidelines in head and neck cancer treatment; associated factors for both patient and physician.

Emilie A C Dronkers, Steven W Mes, Marjan H Wieringa, Marc P van der Schroeff, Robert J Baatenburg de Jong

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 72 citations in OpenAlex.

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  19. Treatment goals and changes over time in older patients with non-curable cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
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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

5 authors at 1 institution in 1 country.

Emilie A C DronkersDepartment of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, 's Gravendijkwal 230, room D112, 3015 CE, Rotterdam, The Netherlands. e.dronkers@erasmusmc.nl.
Steven W MesDepartment of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, 's Gravendijkwal 230, room D112, 3015 CE, Rotterdam, The Netherlands. messteven@gmail.com.
Marjan H WieringaDepartment of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, 's Gravendijkwal 230, room D112, 3015 CE, Rotterdam, The Netherlands. m.vandenbrink@erasmusmc.nl.
Marc P van der SchroeffDepartment of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, 's Gravendijkwal 230, room D112, 3015 CE, Rotterdam, The Netherlands. m.vanderschroeff@erasmusmc.nl.
Robert J Baatenburg de JongDepartment of Otorhinolaryngology and Head and Neck Surgery, Erasmus University Medical Center, 's Gravendijkwal 230, room D112, 3015 CE, Rotterdam, The Netherlands. r.j.baatenburgdejong@erasmusmc.nl.
Erasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDecisions on head and neck squamous cell carcinoma (HNSCC) treatment are widely recognized as being difficult, due to high morbidity, often involving vital functions. Some patients may therefore decline standard, curative treatment. In addition doctors may propose alternative, nonstandard treatments. Little attention is devoted, both in literature and in daily practice, to understanding why and when HNSCC patients or their physicians decline standard, curative treatment modalities. Our objective is to determine factors associated with noncompliance in head and neck cancer treatment for both patients and physicians and to assess the influence of patient compliance on prognosis.

methodsWe did a retrospective study based on the medical records of 829 patients with primary HNSCC, who were eligible for curative treatment and referred to our hospital between 2010 and 2012. We analyzed treatment choice and reasons for nonstandard treatment decisions, survival, age, gender, social network, tumor site, cTNM classification, and comorbidity (ACE27). Multivariate analysis using logistic regression methods was performed to determine predictive factors associated with non-standard treatment following physician or patient decision. To gain insight in survival of the different groups of patients, we applied a Cox regression analysis. After checking the proportional hazards assumption for each variable, we adjusted the survival analysis for gender, age, tumor site, tumor stage, comorbidity and a history of having a prior tumor.

results17 % of all patients with a primary HNSCC did not receive standard curative treatment, either due to nonstandard treatment advice (10 %) or due to the patient choosing an alternative (7 %). A further 3 % of all patients refused any type of therapy, even though they were considered eligible for curative treatment. Elderliness, single marital status, female gender, high tumor stage and severe comorbidity are predictive factors. Patients declining standard treatment have a lower overall 3-year survival (34 % vs. 70 %).

conclusionsPredictive factors for nonstandard treatment decisions in head and neck cancer treatment differed between the treating physician and the patient. Patients who received nonstandard treatment had a lower overall 3-year survival. These findings should be taken into account when counselling patients in whom nonstandard treatment is considered.

Indexed as

Guideline AdherencePatient CompliancePhysiciansAgedAged, 80 and overClinical Decision-MakingComorbidityDisease ManagementFemaleHead and Neck NeoplasmsHumansMaleMiddle AgedNeoplasm StagingOdds RatioOutcome Assessment, Health Care

Identifiers

PMID26163015
PMCPMC4499219
OpenAlexW1559283731

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.