Evidence map›Paper›PMID 35720442›Full record

ReviewTelemedicine reports2022

eHealth-Based Interventions for Older Patients with Prostate Cancer: A Quick Review of the Literature.

Luiz Sinésio Silva Neto, Fellipe Camargo Ferreira Dias, Neila Barbosa Osório, Carmem Lucia Artioli Rolim

Open access · goldAbstract readReview
In one paragraph

Review in Telemedicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 38% 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, 4 citations in OpenAlex.

  1. Review
  2. Review
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

4 authors at 1 institution in 1 country.

Luiz Sinésio Silva NetoFaculty of Medicine, Federal University of Tocantins, Palmas, Brazil.ORCID https://orcid.org/0000-0002-3182-7727
Fellipe Camargo Ferreira DiasUniversity of Maturity, Federal University of Tocantins, Palmas, Brazil.ORCID https://orcid.org/0000-0002-7286-6378
Neila Barbosa OsórioUniversity of Maturity, Federal University of Tocantins, Palmas, Brazil.ORCID https://orcid.org/0000-0002-6346-0288
Carmem Lucia Artioli RolimFaculty of Education, Federal University of Tocantins, Palmas, Brazil.ORCID https://orcid.org/0000-0003-4045-7964
Universidade Federal do Tocantins · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prevalence of prostate cancer (PC) is higher in older adults. Due to early diagnosis and treatment, there is an increase in the survival rate of these patients. The survival of patients with PC imposes the need for specific and effective care strategies. Objective: To identify and analyze eHealth intervention programs for older adults with PC. Methods: A quick review of evidence from the current literature was employed to address the objective of the study. The recommendations of the Cochrane Rapid Reviews Methods Group were used. The PubMed, Embase, Capes Journals, and Lilacs-BVS databases were searched, covering studies published from January 2010 to July 2021. The articles selected were classified considering the modalities and type of eHealth strategies. Results: A total of 10 articles were included in this review. Two types of modalities were identified and classified: the intervention that used the web-based platform (WBP) was the most used in the studies ( Conclusion: eHealth interventions for patients with PC are relatively new but promising in the support of current care options.

Indexed as

agedinternet-based interventionprostate cancer

Identifiers

PMID35720442
PMCPMC9049822
OpenAlexW4220762939

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.