Trial reportJournal of medicine and life
Influence of personalized therapeutic approach on quality of life and psychiatric comorbidity in patients with advanced colonic cancer requiring palliative care.
Trial report in Journal of medicine and life. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Are the MORECare guidelines on reporting of attrition in palliative care research populations appropriate? A systematic review and meta-analysis of randomised controlled trials.BMC palliative care · 2020Pooled it
- Determination of cutpoints for low and high number of symptoms in patients with advanced cancer.Journal of palliative medicine · 2012Trial
- Quantitative proteome analysis of colorectal cancer-related differential proteins.Journal of cancer research and clinical oncology · 2017Article
- Domains and determinants of quality of life in schizophrenia and systemic lupus erythematosus.Indian journal of psychological medicine · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Personalized medical care has been consistently proven in literature as contributing to the maintenance of psychological balance and quality of life in patients suffering from chronic conditions. However, limited research has investigated the role of personalized approach in improving these parameters in patients with advanced incurable diseases. The scope of this paper was to investigate the possible impact of personalized care condition in advanced colon cancer patients, requiring palliative care. 60 patients (32 M, 28 F) (mean age 64.6) suffering from this disease were randomly assigned to a standard or to a personalized care condition. The latest implied (a) frequent (at least 2 monthly) meetings with the doctor, (b) possibility to be involved in treatment decisions, (c) more information given about diagnosis and prognosis and (d) psychological support provided to the patient and his/her family members, to deal better with daily problems and needs. The design of the study was prospective and consisted of two successive evaluations of quality of life (SF-36 questionnaire) and anxiety and depression (HAD test). Cancer patients pertaining to the personalized treatment approach had both superior quality of life scores (p < 0.05) and lower anxiety (p < 0,01) and depression (p < 0.05) than the control group. A more detailed analysis showed significant differences of vitality and social functioning for subjects pertaining to the study group (p < 0.05), as well as a lower ratio between latent and manifest anxiety (p < 0,01). These results argue in favor of the benefits of a personalized treatment approach for patients with advanced incurable diseases.
Indexed as
Identifiers
20945827PMC3018991What OpenQuestion holds
Registered trials
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.