Evidence map›Paper›PMID 41629368›Full record

ArticleScientific reports2026

Validation of a patient-based strategy for ambulatory monitoring of oncological pain by a mobile application.

Marina Castillo, Julia Casado-Gómez-Pallete, Jorge Lázaro-Bailón, José M Iniesta-Chamorro, M Laura García-Bermejo, Sonsoles Sancho, M Elena Hernando, Carolina de la Pinta

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2026. 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. 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

8 authors.

Marina CastilloBiomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain.
Julia Casado-Gómez-PalleteBiomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain.
Jorge Lázaro-BailónBiomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain.
José M Iniesta-ChamorroBiomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain.
M Laura García-BermejoBiomarkers and Therapeutic Targets Group and Core Facility, Ramón y Cajal Health Research Institute (IRYCIS), Madrid, 28034, Spain.
Sonsoles SanchoHospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain.
M Elena HernandoBiomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain. mariaelena.hernando@upm.es.
Carolina de la PintaHospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain.

Funding

ISCIII, Ministry of Health Project PI24/00860
6 · The paper itself

Abstract

The purpose of this study is to assess clinical feasibility and patient adherence to recording pain, symptoms, and medication through the mobile application Accompain. Secondary outcomes included pain evolution, quality of life, pain interference, symptom progression, medication changes, and pain alerts. In this prospective clinical validation study, adult patients with cancer-related pain used a mobile device to log pain intensity, symptoms, and daily rescue medication. The system alerted clinicians to patients with elevated pain or a high number of rescue medications. Eighty-seven patients with different tumors were recruited (60.92% women; median age 63 years; range 27–94). Data recording adherence was 73.56%. Compared to baseline (5.49 ± 1.86), patients reported decreased pain 30 days (3.79 ± 2.48, p < .0001), 45 days (4.18 ± 2.42, p < .0001), and 60 days (3.82 ± 2.37, p < .0001) after starting treatment. Patients with localized tumors reported poorer health and quality of life than those with metastasis (p < .0001). Asthenia was the most frequent symptom. Daily rescue medication reporting increased at 46–60 days after inclusion (p < .01). Physicians received a mean of 2.53 ± 3.89 alerts per week during the study. Ambulatory pain monitoring is feasible and allows remote assessment of patients’ clinical status, which could improve pain management and overall care quality. In our study, gender and metastatic stage are the factors that most influence treatment adherence.

Indexed as

Cancer PainMobile ApplicationsMonitoring, AmbulatoryAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPain ManagementPain MeasurementPatient ComplianceProspective StudiesQuality of LifeCancerPain monitoringQuality of lifeRadiotherapySymptomsTelemedicine

Identifiers

PMID41629368
PMCPMC12886987

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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.