Evidence map›Paper›PMID 39452792›Full record

ArticleMethods and protocols2024

Effect of Telenursing on Supportive Care Needs in Patients with Melanoma and Lung Cancer on Targeted Therapies: A Randomised Controlled Trial Study Protocol.

Aurora De Leo, Gloria Liquori, Alessandro Spano, Nicolò Panattoni, Sara Dionisi, Laura Iacorossi, Noemi Giannetta, Irene Terrenato, Emanuele Di Simone, Marco Di Muzio and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Methods and protocols, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  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

11 authors.

Aurora De LeoDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy.
Gloria LiquoriDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy.
Alessandro SpanoDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy.
Nicolò PanattoniDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-4162-937X
Sara DionisiNursing, Technical, Rehabilitation Department, DaTeR Azienda Unità Sanitaria Locale di Bologna, 40124 Bologna, Italy.ORCID 0000-0001-7933-8490
Laura IacorossiDepartment of Life, Health and Health Professions Sciences, Link Campus University, 00165 Rome, Italy.
Noemi GiannettaDepartmental Faculthy of Medicine, Saint Camillus International University of Health and Medical Sciences (UniCamillus), 00131 Rome, Italy.ORCID 0000-0003-4575-1898
Irene TerrenatoCTC and Biostatistics and Bioinformatics-Scientific Direction, IRCCS Regina Elena National Cancer Institute, 00144 Rome, Italy.ORCID 0000-0002-0187-9323
Emanuele Di SimoneDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-6373-8163
Marco Di MuzioDepartment of Clinical and Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0003-2641-4044
Fabrizio PetroneNursing, Technical, Rehabilitation, Assistance and Research Direction, IRCCS Istituti Fisioterapici Ospitalieri, IFO, 00144 Rome, Italy.ORCID 0009-0003-2080-8226

Funding

Centre of Excellence for Nursing Scholarship (CECRI), Order of Nurses of Rome, Italy 10041
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

lungmelanomaneoplasmsnurserandomised controlled trialstudy protocolsupportive care needstargeted therapytelenursing

Identifiers

PMID39452792
PMCPMC11510742

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.