Evidence map›Paper›PMID 34285960›Full record

ArticleInternational journal of particle therapy2021

Cost-Effectiveness Models of Proton Therapy for Head and Neck: Evaluating Quality and Methods to Date.

Danmeng Huang, Steven J Frank, Vivek Verma, Nikhil G Thaker, Eric D Brooks, Matthew B Palmer, Ross F Harrison, Ashish A Deshmukh, Matthew S Ning

Open access · diamondAbstract read
In one paragraph

Article in International journal of particle therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. ACR-ARS Practice Parameter for the Performance of Proton Beam Therapy.International journal of particle therapy · 2024
    Article
  2. Proton Beam Radiation Therapy for Oropharyngeal Squamous Cell Carcinoma.International journal of particle therapy · 2023
    Review
  3. Article
  4. 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

9 authors at 4 institutions in 1 country.

Danmeng HuangDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Steven J FrankDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Vivek VermaDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Nikhil G ThakerArizona Oncology, Tucson, AZ, USA.
Eric D BrooksUniversity of Florida Health Proton Therapy Institute, Jacksonville, FL, USA.
Matthew B PalmerLegion Healthcare Partners, Houston, TX, USA.
Ross F HarrisonDepartment of Gynecologic Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ashish A DeshmukhDepartment of Management, Policy and Community Health, School of Public Health, University of Texas Health Science Center, Houston, TX, USA.
Matthew S NingDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
The University of Texas MD Anderson Cancer Center · USArizona Oncology · USThe University of Texas Health Science Center at Houston · USUniversity of Florida Health · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

purposeProton beam therapy (PBT) is associated with less toxicity relative to conventional photon radiotherapy for head-and-neck cancer (HNC). Upfront delivery costs are greater, but PBT can provide superior long-term value by minimizing treatment-related complications. Cost-effectiveness models (CEMs) estimate the relative value of novel technologies (such as PBT) as compared with the established standard of care. However, the uncertainties of CEMs can limit interpretation and applicability. This review serves to (1) assess the methodology and quality of pertinent CEMs in the existing literature, (2) evaluate their suitability for guiding clinical and economic strategies, and (3) discuss areas for improvement among future analyses. MATERIALS AND

methodsPubMed was queried for CEMs specific to PBT for HNC. General characteristics, modeling information, and methodological approaches were extracted for each identified study. Reporting quality was assessed via the Consolidated Health Economic Evaluation Reporting Standards 24-item checklist, whereas methodologic quality was evaluated via the Philips checklist. The Cooper evidence hierarchy scale was employed to analyze parameter inputs referenced within each model.

resultsAt the time of study, only 4 formal CEMs specific to PBT for HNC had been published (2005, 2013, 2018, 2020). The parameter inputs among these various Markov cohort models generally referenced older literature, excluding many clinically relevant complications and applying numerous hypothetical assumptions for toxicity states, incorporating inputs from theoretical complication-probability models because of limited availability of direct clinical evidence. Case numbers among study cohorts were low, and the structural design of some models inadequately reflected the natural history of HNC. Furthermore, cost inputs were incomplete and referenced historic figures.

conclusionContemporary CEMs are needed to incorporate modern estimates for toxicity risks and costs associated with PBT delivery, to provide a more accurate estimate of value, and to improve their clinical applicability with respect to PBT for HNC.

Indexed as

comparative analysishealth care valuehealth economicsoropharyngeal cancerproton beam therapy

Identifiers

PMID34285960
PMCPMC8270103
OpenAlexW3174782579

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.