Evidence map›Paper›PMID 40803828›Full record

SynthesisOccupational and environmental medicine2025

Prognostic factors affecting return to work in cancer patients: a systematic review.

Lydia López-Faneca, Carlos Ruiz-Frutos, Juan Gómez-Salgado, Javier Fagundo-Rivera, Rocío Palomo-Gómez, Regina Allande-Cussó, Azahara Ruger-Navarrete, Israel Macías-Toronjo, Juan Jesús García-Iglesias

Abstract readSystematic Review
In one paragraph

Synthesis in Occupational and environmental medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

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

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

  1. Pooled it
  2. Trial
  3. Observational
  4. Review
  5. 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

9 authors.

Lydia López-FanecaSchool of Doctorate, University of Huelva, Huelva, Spain.
Carlos Ruiz-FrutosDepartment of Sociology, Social Work and Public Health, Faculty of Labour Sciences, University of Huelva, Huelva, Spain.
Juan Gómez-SalgadoDepartment of Sociology, Social Work and Public Health, Faculty of Labour Sciences, University of Huelva, Huelva, Spain jgsalgad@gmail.com.ORCID 0000-0001-9053-7730
Javier Fagundo-RiveraCentro Universitario de Enfermería Cruz Roja, University of Seville, Seville, Spain.
Rocío Palomo-GómezDepartment of Obstetrics, Hospital La Línea de la Concepción, Junta de Andalucía, Servicio Andaluz de Salud, Cadiz, Spain.
Regina Allande-CussóDepartment of Nursing, University of Seville, Seville, Spain.
Azahara Ruger-NavarreteDepartment of Nursing, Faculty of Health Sciences of Ceuta, Universidad de Granada, Ceuta, Spain.
Israel Macías-ToronjoDepartment of Rehabilitation, FREMAP, Huelva, Spain.
Juan Jesús García-IglesiasDepartment of Sociology, Social Work and Public Health, Faculty of Labour Sciences, University of Huelva, Huelva, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Return-to-work rates among working-age cancer survivors present a complex challenge, varying by cancer type and individual characteristics. This study aimed to identify prognostic factors influencing return to work in cancer survivors. A systematic review was conducted following Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. Searches in PubMed, Scopus and Web of Science databases in December 2024 used keywords based on the Population, Prognostic Factors, Outcomes framework to identify relevant studies. Study quality was evaluated using Joanna Briggs Institute tools and the protocol was registered in PROSPERO (CRD42024596102).Twenty studies were selected. Identified factors included sociodemographic: older age, educational level, marital status and sex; clinical: aggressive treatments, comorbidities and physical sequelae; psychological: anxiety, stress, fear of relapse and social support; occupational: flexible work schedules and tasks versus rigid conditions. Multiple factors influence return-to-work outcomes for cancer survivors.Individualised intervention programmes addressing specific patient needs and fostering adapted work environments are essential to promote successful reintegration.

Indexed as

Cancer SurvivorsNeoplasmsReturn to WorkFemaleHumansMalePrognosisMedical OncologyOccupational HealthWork Capacity EvaluationWorkers

Identifiers

PMID40803828
PMCPMC12421121

What OpenQuestion holds

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LicenceCC BY-NC
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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.