Evidence map›Paper›PMID 37587214›Full record

SynthesisScientific reports2023

Cardiorespiratory dose comparison among six radiotherapy regimens for patients with left-sided breast cancer.

Yongkai Lu, Yanfang Ma, Di Yang, Yi Li, Wei Yuan, Fengwen Tang, Lei Xu, Luping Zhou, Hao Lin, Binglin Li and 3 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

13 authors at 4 institutions in 1 country.

Yongkai Lu *Department of Radiation Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China. luyongkai@xjtufh.edu.cn.
Yanfang Ma *Department of Radiation Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Di Yang *Department of Radiation Oncology, Shaanxi Provincial Tumor Hospital, Affiliated Hospital of Xi'an Jiaotong University Health Science Center, Xi'an, China.
Yi LiDepartment of Radiation Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Wei YuanDepartment of Radiation Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Fengwen TangDepartment of Radiation Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Lei XuDepartment of Radiation Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Luping ZhouDepartment of Radiation Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China.
Hao LinDepartment of Thoracic Surgery, Xi'an Central Hospital, Xi'an, China.
Binglin LiDepartment of Thoracic Surgery, Xi'an Central Hospital, Xi'an, China.
Ruijuan ChenDepartment of Thoracic Surgery, Xi'an Central Hospital, Xi'an, China. jonaschen1989@yeah.net.
Chenchen HeDepartment of Radiation Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China. 382120433@qq.com.
Dongli ZhaoDepartment of Radiation Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, 710061, Shaanxi, China. zhaodongli68@163.com.
First Affiliated Hospital of Xi'an Jiaotong University · CNFirst Hospital of Xi'an · CNShaanxi Provincial People's Hospital · CNXian Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is uncertainty regarding the benefits and drawbacks of various radiation protocols for the treatment of left-sided breast cancer. To address this issue, we conducted a Bayesian network analysis. First, we searched several electronic databases for eligible literature. Next, we pooled the data from twelve studies concerning three-dimensional conformal radiation therapy (3D-CRT), intensity modulated radiation therapy (IMRT), and volumetric modulated arc therapy (VMAT), combined with either deep inspiratory breath-holding (DIBH) or free-breathing (FB) modalities. The integrated cardiac and pulmonary dosimetric indexes for all included treatments were compared using Bayesian networks. A direct meta-analysis indicated that for the two methods of 3D-CRT and IMRT, DIBH technology was more effective than FB in reducing the radiation dose to the heart and lungs. Additionally, according to the network results, DIBH was superior to FB in all six treatment options, regardless of whether the plan was 3D-CRT, IMRT, or VMAT. Besides, the combined data indicated that the FB-3D-CRT regimen had the weakest dosimetric advantage of all the treatments. Excluding FB-3D-CRT, each of the other five treatments had its own specific benefits. This is the first Bayesian study of several radiotherapy regimens for breast cancer patients on the left side, and the findings can be used to select appropriate radiotherapy programs for breast cancer patients.

Indexed as

Breast NeoplasmsRadiation OncologyUnilateral Breast NeoplasmsBayes TheoremClinical ProtocolsFemaleHumans

Identifiers

PMID37587214
PMCPMC10432504
OpenAlexW4385878059

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.