Evidence map›Paper›PMID 42222051›Full record

ArticleFrontiers in pain research (Lausanne, Switzerland)2026

Longitudinal predictor analysis of pain in breast cancer survivors on aromatase inhibitors-the PAC-WOMAN trial.

Inês Nobre, Marlene N Silva, Sofia Franco, Bruno Rodrigues, Pedro F Silva, Pedro J Teixeira, Eliana V Carraça

Abstract read
In one paragraph

Article in Frontiers in pain research (Lausanne, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Inês NobreCIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz Quebrada, Portugal.
Marlene N SilvaCentro de Investigação em Educação Física, Desporto, Exercício e Saúde (CIDEFES) E CIFID2D, Universidade Lusófona, Lisboa, Portugal.
Sofia FrancoCentro de Investigação em Educação Física, Desporto, Exercício e Saúde (CIDEFES) E CIFID2D, Universidade Lusófona, Lisboa, Portugal.
Bruno RodriguesCentro de Investigação em Educação Física, Desporto, Exercício e Saúde (CIDEFES) E CIFID2D, Universidade Lusófona, Lisboa, Portugal.
Pedro F SilvaCISUC, Universidade de Coimbra, Polo II, Coimbra, Portugal.
Pedro J TeixeiraCIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz Quebrada, Portugal.
Eliana V CarraçaCentro de Investigação em Educação Física, Desporto, Exercício e Saúde (CIDEFES) E CIFID2D, Universidade Lusófona, Lisboa, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Breast cancer survivors undergoing hormonal therapy with aromatase inhibitors face a significantly increased risk of developing musculoskeletal pain, leading to treatment discontinuation rates of 13% to 22%. Recent literature has focused on identifying and understanding possible risk factors for pain development in breast cancer survivors, not only for pain prevention but also for guiding treatment strategies. This study aimed to investigate predictors of baseline, 4-month, and change scores of pain intensity in breast cancer survivors on aromatase inhibitors. Methods: Multiple regression analyses using intent-to-treat data ( Results: Having a partner (95% CI: 0.220, 1.868, Conclusions: These findings highlight the complex and multifaceted nature of pain in this population and the need for longitudinal studies with diverse populations, as well as advanced methodologies to capture the dynamic nature of pain and refine intervention strategies.

Indexed as

aromatase inhibitorsbreast cancer painbreast cancer survivorshormonal therapypain predictorsphysical activity interventions

Identifiers

PMID42222051
PMCPMC13216203

What OpenQuestion holds

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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.