Evidence map›Paper›PMID 39046592›Full record

ArticleJournal of cancer research and clinical oncology2024

Determining the cut-off value for the Minimal Documentation System (MIDOS2) screening tool to initiate specialized palliative care based on patient's subjective need for palliative support and symptom burden in inpatients with advanced cancer.

Anna Heinzelmann, Mitra Tewes, Sandy Müller, Ulrich Sure, Ken Herrmann, Dirk Schadendorf, Eva Warnecke, Raya Rausch, Eva-Maria Skoda, Maria Rosa Salvador Comino

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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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

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

  1. Pooled it
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Anna HeinzelmannDepartment of Palliative Medicine, University Hospital Essen (AöR), 45147, Essen, Germany.
Mitra TewesDepartment of Palliative Medicine, University Hospital Essen (AöR), 45147, Essen, Germany.ORCID http://orcid.org/0000-0001-8868-8329
Sandy MüllerDepartment of Palliative Medicine, University Hospital Essen (AöR), 45147, Essen, Germany.
Ulrich SureDepartment of Neurosurgery, University Hospital Essen (AöR), 45147, Essen, Germany.
Ken HerrmannDepartment of Nuclearmedicine, University Hospital Essen (AöR), 45147, Essen, Germany.
Dirk SchadendorfDepartment of Dermatology, University Hospital Essen (AöR), 45147, Essen, Germany.
Eva WarneckeDepartment of Palliative Medicine, University Hospital Essen (AöR), 45147, Essen, Germany.
Raya RauschWest German Cancer Center, University Hospital Essen (AöR), 45147, Essen, Germany.
Eva-Maria SkodaDepartment for Psychosomatic Medicine and Psychotherapy LVR-University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Maria Rosa Salvador CominoDepartment of Palliative Medicine, University Hospital Essen (AöR), 45147, Essen, Germany. maria.salvador@uk-essen.de.ORCID https://orcid.org/0000-0002-8145-1801

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Minimal Documentation System (MIDOS2) is recommended as a systematic screening tool for assessing symptom burden and patient needs in advanced cancer patients. Given the absence of an optimal weighting of individual symptoms and a corresponding cut-off value, this study aims to determine a threshold based on inpatient's subjective need for palliative support. Additionally, we investigate the correlation between symptom burden and subjective need for palliative support collected through a patient-reported outcome measure (PROM) with survival duration of less or more than one year.

methodsInpatients diagnosed with advanced solid cancer completed an electronic PROM, which included the MIDOS2 questionnaire among other tools. Differences in symptom burden were analysed between patients expressing subjective need for palliative support and those with survival of less or more than one year using ANOVA, Mann-Whitney-U Test, logistic regression, Pearson and Spearman correlation tests. Cut-off analyses were performed using a ROC curve. Youden-Index, sensitivity, and specificity measures were used as well.

resultsBetween April 2020 and March 2021, 265 inpatients were included in the study. Using a ROC curve, the MIDOS2 analysis resulted in an Area under the curve (AUC) of 0.732, a corresponding cut-off value of eight points, a sensitivity of 76.36% and a specificity of 62.98% in assessing the subjective need for palliative support. The MIDOS2, with double weighting of the significant symptoms, showed a cut-off value of 14 points, achieving a sensitivity of 78.18% and a specificity of 72.38%. A total of 55 patients (20.8%) expressed a need for support from the palliative care team. This need was independent of the oncological tumour entity and increased among patients with a survival of less than one year. These patients reported significantly poorer physical (p < 0.001) or mental (p < 0.001) condition. Additionally, they reported higher intensities of pain (p = 0.002), depressive symptoms (p < 0.001), weakness (p < 0.001), anxiety (p < 0.001), and tiredness (p < 0.001).

conclusionUsing the established MIDOS2 cut-off value with an adjusted double weighting in our study, a large proportion of inpatients may be accurately referred to SPC based on their subjective need for palliative support. Additionally, subjective reports of poor general, mental, and physical condition, as well as pain, depressive symptoms, weakness, anxiety, and tiredness, increase the subjective need for palliative support, particularly in patients with a survival prognosis of less than one year.

Indexed as

NeoplasmsPalliative CareAdultAgedAged, 80 and overDocumentationFemaleHumansInpatientsMaleMiddle AgedPatient Reported Outcome MeasuresSurveys and QuestionnairesSymptom BurdenCancer patientsePROMMIDOS2Multidimensional assessmentPalliative careScreening

Identifiers

PMID39046592
PMCPMC11269497

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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.