Evidence map›Paper›PMID 35275294›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2022

Identification of socially vulnerable cancer patients - development of a register-based index (rSVI).

Jens-Jakob Kjer Møller, Karen la Cour, Marc Sampedro Pilegaard, Sören Möller, Lene Jarlbaek

Erratum issuedOpen access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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
1.1field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. The importance of social vulnerability and exclusion in cancer prognosis and survival: a scoping review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  5. Socioeconomic differences in labour market attachment after breast cancer: a population-based matched cohort study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Jens-Jakob Kjer MøllerREHPA, The Danish Knowledge Centre for Rehabilitation and Palliative Care, Odense University Hospital, Nyborg, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark. jens-jakob.kjer.moller@rsyd.dk.ORCID http://orcid.org/0000-0002-8771-4940
Karen la CourDanish Research Centre for Equality in Cancer (COMPAS), Zealand University Hospital, Naestved, Denmark.ORCID http://orcid.org/0000-0001-7126-0318
Marc Sampedro PilegaardREHPA, The Danish Knowledge Centre for Rehabilitation and Palliative Care, Odense University Hospital, Nyborg, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0001-6362-410X
Sören MöllerResearch Unit OPEN, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0003-0858-4269
Lene JarlbaekREHPA, The Danish Knowledge Centre for Rehabilitation and Palliative Care, Odense University Hospital, Nyborg, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0001-8702-6788
University of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial vulnerability is a complex construct which is beyond relying on single measures. If socially vulnerable patients should be identified, we need a composite measure capturing the patient's overall circumstances. This study presents the development of a social vulnerability index (rSVI) for cancer patients based on administrative data from population-based registers.

methodsAll patients, who died from cancer within 5 years after the cancer diagnosis during 2013-2018 (n = 44,187), were identified and divided in four subcohorts according to survival; index cohort surviving 3-5 years (n = 3044 surviving 3-5 years), cohort 1 (n = 27,170 surviving < 1 year), cohort 2 (n = 9450 surviving 1-2 years), and cohort 3 (n = 4523 surviving 2-3 years). Variables from ten registries on health and social issues were linked to each individual patient. Variables of interest were weighted to construct the rSVI using the index-cohort. rSVI was subsequently tested on the three other cohorts for validation.

resultsThe rSVI included weighted values for marital status, ethnicity, education, income, unemployment, psychiatric comorbidity, and somatic comorbidity. The validity of the rSVI was supported by the expected trend in proportions of vulnerable patients when applied on the other cohorts. Single social measures appeared insufficient in identification of vulnerable patients when compared with the rSVI.

conclusionThe rSVI provides a tool for identification of socially vulnerable cancer patients using administrative data. The index requires further validation in other patient groups and is tested against other measures of vulnerability. Future perspectives are to use the rSVI as predictor of advanced cancer patients' use of healthcare services.

Indexed as

IncomeNeoplasmsCohort StudiesEducational StatusHealth ServicesHumansCancerEpidemiologyIndexInequalitiesSocial vulnerability

Identifiers

PMID35275294
OpenAlexW4220655447

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.