Evidence map›Paper›PMID 34176503›Full record

ArticleRadiation oncology (London, England)2021

Regression models for predicting physical and EQD

Hao Wang, Yongkang Zhou, Wutian Gan, Hua Chen, Ying Huang, Yanhua Duan, Aihui Feng, Yan Shao, Hengle Gu, Qing Kong and 1 more

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% 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, 3 citations in OpenAlex.

  1. Article
  2. Article
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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

11 authors at 3 institutions in 1 country.

Hao Wang *Institute of Modern Physics, Fudan University, Shanghai, China.
Yongkang Zhou *Department of Radiation Oncology, Zhongshan Hospital, Shanghai, China.
Wutian GanSchool of Physics and Technology, University of Wuhan, Wuhan, China.
Hua ChenDepartment of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Ying HuangDepartment of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Yanhua DuanDepartment of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Aihui FengDepartment of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Yan ShaoDepartment of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Hengle GuDepartment of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Qing KongInstitute of Modern Physics, Fudan University, Shanghai, China. qkong@fudan.edu.cn.
Zhiyong XuDepartment of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China. xzyong12vip@sina.com.ORCID http://orcid.org/0000-0002-9513-8496
Shanghai Chest Hospital · CNFudan University · CNZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background/purposeTo establish regression models of physical and equivalent dose in 2 Gy per fraction (EQD

methodsTwo kinds of hybrid plans named conventional fraction radiotherapy & stereotactic body radiotherapy (C&S) and conventional fraction radiotherapy & simultaneous integrated boost (C&SIB) were retrospectively made for 20 patients with stage III NSCLC. Prescription dose of C&S plans was 2 Gy × 30f for planning target volume of lymph node (PTV

resultsPhysical and EQD

conclusionThe regression models of physical and EQD

Indexed as

Regression AnalysisAgedCarcinoma, Non-Small-Cell LungFemaleHumansLung NeoplasmsMaleMiddle AgedOrgans at RiskPatient Care PlanningPrognosisRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedRetrospective StudiesEQD2 plan parameterHybrid planningPhysical plan parameterRegression modelStage III NSCLC

Identifiers

PMID34176503
PMCPMC8237456
OpenAlexW3173322633

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.