Evidence map›Paper›PMID 36454740›Full record

ArticlePloS one2022

Construction of an individual socioeconomic status index for analysing inequalities in colorectal cancer screening.

Mercedes Vanaclocha-Espí, Marina Pinto-Carbó, Javier Martín-Pozuelo, Paula Romeo-Cervera, Rosana Peiró-Pérez, Carmen Barona, Francisco Ortiz, Andreu Nolasco, Susana Castán, Dolores Salas and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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
0.3field-weighted citation impact, top 39% 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

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

  1. Pooled it
  2. Article
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

11 authors at 5 institutions in 1 country.

Mercedes Vanaclocha-EspíFoundation for the Promotion of Health and Biomedical Research-Public Health Research FISABIO-Public Health Research, Valencia, Spain.ORCID 0000-0002-7202-2861
Marina Pinto-CarbóFoundation for the Promotion of Health and Biomedical Research-Public Health Research FISABIO-Public Health Research, Valencia, Spain.
Javier Martín-PozueloFoundation for the Promotion of Health and Biomedical Research-Public Health Research FISABIO-Public Health Research, Valencia, Spain.
Paula Romeo-CerveraFoundation for the Promotion of Health and Biomedical Research-Public Health Research FISABIO-Public Health Research, Valencia, Spain.
Rosana Peiró-PérezFoundation for the Promotion of Health and Biomedical Research-Public Health Research FISABIO-Public Health Research, Valencia, Spain.
Carmen BaronaFoundation for the Promotion of Health and Biomedical Research-Public Health Research FISABIO-Public Health Research, Valencia, Spain.
Francisco OrtizHealth Insurance Service and the SIP of the Conselleria de Sanitat, Valencian Community, Spain.
Andreu NolascoUniversity of Alicante, Alicante, Spain.ORCID 0000-0001-6583-379X
Susana CastánFoundation for the Promotion of Health and Biomedical Research-Public Health Research FISABIO-Public Health Research, Valencia, Spain.
Dolores SalasFoundation for the Promotion of Health and Biomedical Research-Public Health Research FISABIO-Public Health Research, Valencia, Spain.
Ana Molina-BarcelóFoundation for the Promotion of Health and Biomedical Research-Public Health Research FISABIO-Public Health Research, Valencia, Spain.
Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana · ESGeneralitat Valenciana · ESConselleria de Sanitat Universal i Salut Pública · ESInstituto de Salud Carlos III · ESUniversity of Alicante · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo construct an individual socioeconomic status index (ISESI) with information available in the Population Information System of the Region of Valencia, Spain, and use it to analyse inequalities in a colorectal cancer screening programme (CRCSP).

methodsCross-sectional study of men and women aged between 50 and 75 at the time of the study (2020) that were selected from the target population of the Region of Valencia CRCSP. (study sample 1,150,684). First, a multiple correspondence analysis was performed to aggregate information from the Population Information System of the Region of Valencia into an ISESI. Second, data from the 2016 Region of Valencia Health Survey were used for validation, and finally the relationship between CRCSP participation and the ISESI was analysed by logistic regression models.

resultsThe variables included in the index were nationality, employment status, disability, healthcare coverage, risk of vulnerability and family size. The most important categories for determining the highest socioeconomic status were being employed and not being at risk of social vulnerability, and being unemployed and at risk of social vulnerability for determining the lowest socioeconomic status. Index validation demonstrated internal and external coherence for measuring socioeconomic status. The relationship between CRCSP participation and the ISESI categorised by quartile (Q) showed that Q4 (the lowest socioeconomic status) was less likely to participate OR = 0.769 (0.757-0.782) than Q1 (the highest socioeconomic status), and the opposite was found for Q2 OR = 1.368 (1.347-1.390) and Q3 OR = 1.156 (1.137-1.175).

conclusionsAn ISESI was constructed and validated using Population Information System data and made it possible to evaluate inequalities in colorectal cancer screening.

Indexed as

Colorectal NeoplasmsEarly Detection of CancerAgedCross-Sectional StudiesFemaleHumansIncomeMaleMiddle AgedSocial Class

Identifiers

PMID36454740
PMCPMC9714724
OpenAlexW4311069750

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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.