Evidence map›Paper›PMID 28049577›Full record

ReviewThe Lancet. Oncology2017

Evaluation of effectiveness of survivorship programmes: how to measure success?

Michael T Halpern, Keith E Argenbright

Abstract readReview
PubMed Publisher
In one paragraph

Review in The Lancet. Oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 12% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Development and validation of a prediction model for frailty in breast cancer patients with extended survival.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  6. Myths and Presumptions About Cancer Survivorship.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  7. Health-related Quality of Life in Elderly Asian American and Non-Hispanic White Cancer Survivors.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. Canadian oncology nursing journal = Revue canadienne de nursing oncologique · 2022
    Article
  12. The development and implementation of the After Cancer Treatment Transition (ACTT) Program for survivors of cancer.Canadian oncology nursing journal = Revue canadienne de nursing oncologique · 2022
    Article
  13. Article
  14. Dissemination of cancer survivorship care plans: who is being left out?Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Michael T HalpernDepartment of Health Services Administration and Policy, Temple University College of Public Health, Philadelphia, PA, USA. Electronic address: michael.halpern@temple.edu.
Keith E ArgenbrightMoncrief Cancer Institute and Division of Community Health Sciences, University of Texas Southwestern Medical Center, Fort Worth, TX, USA.
Temple University · USThe University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the number of cancer survivors has increased substantially in the past two decades, the evidence base regarding the effectiveness of cancer survivorship programmes is inadequate. Survivorship programmes tend to evaluate their effectiveness by assessing changes in patient-reported outcomes, symptoms and health status, knowledge, and receipt of cancer surveillance in programme participants. However, more comprehensive and high-quality evaluations of survivorship programmes are needed, including assessments using a broader set of measures. These expanded evaluations can include assessments of programme structure; long-term outcomes, such as survival, quality-adjusted life-years, and functional status; receipt of social support, nutritional, rehabilitative, and fertility preservation services; programme value, including costs and avoidance of inappropriate resource utilisation; and ability of programmes to increase access to needed survivorship care services and health equity. In this Series paper, we provide examples of assessment measures for currently used survivorship programmes, discuss the rationale for and potential benefits of expanded types of evaluation measures, and identify how these measures correspond to several evaluation frameworks. We conclude that use of a common, expanded set of measures to facilitate broad comparisons across survivorship programmes and thorough and systematic evaluations will help to identify the optimal programmes for individual survivors, improve outcomes, and prove the value of survivorship care.

Indexed as

Program EvaluationQuality of LifeSurvivorsHumansNeoplasmsPractice Patterns, Physicians'Survival Rate

Identifiers

PMID28049577
OpenAlexW2564233406

What OpenQuestion holds

Textmetadata
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.