Evidence map›Paper›PMID 36831370›Full record

ReviewCancers2023

Ten Considerations for Integrating Patient-Reported Outcomes into Clinical Care for Childhood Cancer Survivors.

Madeline R Horan, Jin-Ah Sim, Kevin R Krull, Kirsten K Ness, Yutaka Yasui, Leslie L Robison, Melissa M Hudson, Justin N Baker, I-Chan Huang

Abstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Adherence to daily electronic symptom screening in pediatric cancer: associations with time, location and pain.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  7. Article
  8. 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

9 authors.

Madeline R HoranDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Jin-Ah SimDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Kevin R KrullDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Kirsten K NessDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Yutaka YasuiDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.ORCID 0000-0002-7717-8638
Leslie L RobisonDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Melissa M HudsonDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.ORCID 0000-0001-6984-2407
Justin N BakerDepartment of Oncology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.ORCID 0000-0002-6584-6483
I-Chan HuangDepartment of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.ORCID 0000-0002-1194-3923

Funding

The St. Jude Lifetime CohortU01CA195547 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI HUDSON, MELISSA M, NESS, KIRSTEN KIMBERLIE · 2015 to 2024
$14.9M
Patient-Generated Health Data to Predict Childhood Cancer Survivorship OutcomesR01CA258193 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI I-Chan Huang, YUTAKA YASUI · 2021 to 2026
$3.7M
Patient-Reported Outcomes Version of CTCAE involving Childhood Cancer SurvivorsR01CA238368 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI BAKER, JUSTIN N, HUANG, I-CHAN · 2019 to 2023
$3.5M
Training in Pediatric Cancer Survivorship Outcomes and InterventionsT32CA225590 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Kevin R Krull · 2018 to 2026
$2.4M
NCI NIH HHS R01 CA238368NCI NIH HHS R01CA238368NCI NIH HHS R01 CA258193NCI NIH HHS R01CA258193NCI NIH HHS T32 CA225590NCI NIH HHS T32CA225590NCI NIH HHS U01 CA195547NCI NIH HHS U01CA195547
6 · The paper itself

Abstract

Patient-reported outcome measures (PROMs) are subjective assessments of health status or health-related quality of life. In childhood cancer survivors, PROMs can be used to evaluate the adverse effects of cancer treatment and guide cancer survivorship care. However, there are barriers to integrating PROMs into clinical practice, such as constraints in clinical validity, meaningful interpretation, and technology-enabled administration of the measures. This article discusses these barriers and proposes 10 important considerations for appropriate PROM integration into clinical care for choosing the right measure (considering the purpose of using a PROM, health profile vs. health preference approaches, measurement properties), ensuring survivors complete the PROMs (data collection method, data collection frequency, survivor capacity, self- vs. proxy reports), interpreting the results (scoring methods, clinical meaning and interpretability), and selecting a strategy for clinical response (integration into the clinical workflow). An example framework for integrating novel patient-reported outcome (PRO) data collection into the clinical workflow for childhood cancer survivorship care is also discussed. As we continuously improve the clinical validity of PROMs and address implementation barriers, routine PRO assessment and monitoring in pediatric cancer survivorship offer opportunities to facilitate clinical decision making and improve the quality of survivorship care.

Indexed as

childhood cancer survivorshealth-related quality of lifeimplementationpatient-reported outcomessymptoms

Identifiers

PMID36831370
PMCPMC9954048

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.