Evidence map›Paper›PMID 34727331›Full record

ReviewAnnals of nuclear medicine2022

Progress and future prospective of FDG-PET/CT imaging combined with optimized procedures in lung cancer: toward precision medicine.

Haoyue Guo, Kandi Xu, Guangxin Duan, Ling Wen, Yayi He

Abstract readReview
PubMed Publisher
In one paragraph

Review in Annals of nuclear medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Thorax radiotherapy usingFrontiers in oncology · 2022
    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

5 authors.

Haoyue Guo *Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China.
Kandi Xu *Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China.
Guangxin DuanState Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, 215123, China.
Ling WenDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215000, China. wenling2011@qq.com.
Yayi HeDepartment of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China. yayi.he@tongji.edu.cn.

Funding

Clinical Research Project of Shanghai Pulmonary Hospital fk18005Clinical Research Project of Shanghai Pulmonary Hospital FKLY20001Clinical Research Project of Shanghai Pulmonary Hospital FKLY20010'Dream Tutor' Outstanding Young Talents Program fkyq1901Key Projects of Leading Talent 19411950300National Natural Science Foundation of China 81802255Scientific Research Project of Shanghai Pulmonary Hospital fkcx1903Shanghai Municipal Commission of Health and Family Planning 2017YQ050Young Talents in Shanghai 2019 QNBJYouth Project of Hospital Management Research Fund of Shanghai Hospital Association Q1902037
6 · The paper itself

Abstract

With a 5-year overall survival of approximately 20%, lung cancer has always been the number one cancer-specific killer all over the world. As a fusion of positron emission computed tomography (PET) and computed tomography (CT), PET/CT has revolutionized cancer imaging over the past 20 years. In this review, we focused on the optimization of the function of

Indexed as

Fluorodeoxyglucose F18Lung NeoplasmsPositron Emission Tomography Computed TomographyPrecision MedicineHumansFluorodeoxyglucose F18DiagnosisLung cancerPET/CTPrognosisTreatment

Identifiers

PMID34727331

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.