Evidence map›Paper›PMID 31385978›Full record

ArticleNeuro-oncology practice2018

Compliance with patient-reported outcome assessment in glioma patients: predictors for drop out.

Mirjam Renovanz, Marlene Hechtner, Karoline Kohlmann, Mareile Janko, Minou Nadji-Ohl, Susanne Singer, Florian Ringel, Jan Coburger, Anne-Katrin Hickmann

Open access · bronzeAbstract read
In one paragraph

Article in Neuro-oncology practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
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  10. Do reminder emails and past due notifications improve patient completion and institutional data submission for patient-reported outcome measures?Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 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

9 authors at 4 institutions in 2 countries.

Mirjam RenovanzDepartment of Neurosurgery, University Medical Center, Johannes-Gutenberg-University Mainz, Mainz Germany.
Marlene HechtnerDivision of Epidemiology and Health Services Research, Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center, Johannes-Gutenberg-University Mainz, Mainz Germany.
Karoline KohlmannDepartment of Neurosurgery, University Medical Center, Johannes-Gutenberg-University Mainz, Mainz Germany.
Mareile JankoDepartment of Neurosurgery, University Medical Center, Johannes-Gutenberg-University Mainz, Mainz Germany.
Minou Nadji-OhlDepartment of Neurosurgery Klinikum Stuttgart, Katharinenhospital, Stuttgart Germany.
Susanne SingerDivision of Epidemiology and Health Services Research, Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center, Johannes-Gutenberg-University Mainz, Mainz Germany.
Florian RingelDepartment of Neurosurgery, University Medical Center, Johannes-Gutenberg-University Mainz, Mainz Germany.
Jan CoburgerDepartment of Neurosurgery, University Medical Center Ulm/Günzburg, Günzburg Germany.
Anne-Katrin HickmannDepartment of Neurosurgery Klinikum Stuttgart, Katharinenhospital, Stuttgart Germany.
Johannes Gutenberg University Mainz · DEUniversity Medical Center of the Johannes Gutenberg University Mainz · DEKlinikum Stuttgart · DEUniversität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient-reported outcomes are of high importance in clinical neuro-oncology. However, assessment is still suboptimal. We aimed at exploring factors associated with the probability for a) drop out of study and b) death during follow-up.

methodsPatients were assessed twice during follow-up visits scheduled within 3 to 5 months of each other by using 3 validated patient-reported outcome measures (t1: first assessment, t2: second assessment). As "death" was seen as a competing risk for drop out, univariate competing risk Cox regression models were applied to explore factors associated with dropping out (age, gender, WHO grade, living situation, recurrent surgery, Karnofsky Performance Status, time since diagnosis, and patient-reported outcomes assessed by Distress Thermometer, EORTC-QLQ-C30, EORTC-QLQ-BN20, and SCNS-SF-34G).

resultsTwo hundred forty-six patients were eligible, 173 (70%) participated. Patients declining participation were diagnosed with glioblastomas more often than with other gliomas (56% vs 39%). At t2, 32 (18%) patients dropped out, n = 14 death-related, n = 18 for other reasons. Motor dysfunction (EORTC-QLQ-BN20) was associated with higher risk for non-death-related drop out (HR: 1.02; 95% CI, 1.00-1.03;

conclusionPatients with motor dysfunction and poorer clinical condition seem to be more likely to drop out of studies applying patient-reported outcome measures. This should be taken into account when planning studies assessing glioma patients and for interpretation of results of patient-reported outcome assessments in clinical routine.

Indexed as

gliomaneuro-oncologynonparticipationstudy drop outsupportive care

Identifiers

PMID31385978
PMCPMC6655376
OpenAlexW2765533791

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.