Evidence map›Paper›PMID 37787851›Full record

ArticleAnnals of nuclear medicine2023

Cheng Liu, Guang Ma, Jiangang Zhang, Jingyi Cheng, Zhongyi Yang, Shaoli Song

Abstract read
PubMed Publisher
In one paragraph

Article in Annals of nuclear medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Progression-free survival prediction and comparative metastasis detection accuracy ofEuropean journal of nuclear medicine and molecular imaging · 2026
    Pooled it
  2. Head-to-Head comparison of [European journal of nuclear medicine and molecular imaging · 2025
    Pooled it
  3. Clinical impact ofEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  4. Article
  5. European journal of nuclear medicine and molecular imaging · 2025
    Article
  6. The Evolution and Clinical Impact of Deep Learning Technologies in Breast MRI.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Review
  7. Review
  8. [EJNMMI research · 2025
    Article
  9. New Radiopharmaceutical Tracers in Breast Cancer Diagnosis and Therapy.Anti-cancer agents in medicinal chemistry · 2025
    Review
  10. 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

6 authors at 4 institutions in 1 country.

Cheng Liu *Department of Nuclear Medicine, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, 4365 Kangxin Road, Shanghai, 201321, China.
Guang Ma *Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Jiangang ZhangShanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, 201321, China.
Jingyi ChengShanghai Key Laboratory of Radiation Oncology (20dz2261000), Shanghai, 201321, China.
Zhongyi YangDepartment of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. yangzhongyi21@163.com.ORCID http://orcid.org/0000-0001-6195-9942
Shaoli SongDepartment of Nuclear Medicine, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, 4365 Kangxin Road, Shanghai, 201321, China. shaoli-song@163.com.
Center for High Pressure Science & Technology Advanced Research · CNFudan University Shanghai Cancer Center · CNFudan University · CNShanghai Medical College of Fudan University · CN

Funding

Science and Technology Development Fund of Shanghai Pudong New Area PKJ2020-Y54Shanghai Committee of Science and Technology Fund 22DZ2204500Shanghai Sailing Program 20YF1408500
6 · The paper itself

Abstract

objectiveThe aim of this study was to investigate the potential value of dual tracers

methodsThis retrospective study enrolled 38 ER-positive metastatic breast cancer patients from our center who underwent both

resultsAfter a median follow-up of 15.6 months, progressive disease was observed in 23 out of 38 patients, and the median PFS for the whole cohort was 21.0 months [95% confidence interval (CI) 12.7-29.3]. FES and FDG PET identified 6 patients (15.8%) with FES-negative lesions, suggesting ER heterogeneity in metastatic lesions. The median PFS of these patients was only 5.3 months (95% CI 1.7-8.9), which was substantially shorter than that of patients with 100% FES-positive lesions (median PFS 22.9 months, 95% CI 17.1-28.7, P < 0.001). Patients with 100% FES-positive lesions who had high FES/FDG showed significantly shorter PFS compared to those with low FES/FDG (14.9 vs. 30.5 months, P = 0.003).

conclusionsThis study shows that FDG and FES PET imaging may serve as valuable tools for patient selection in the context of CDK4/6 inhibitor therapy combined with endocrine treatment, and have the potential to function as prognostic biomarkers.

Indexed as

Breast NeoplasmsBiomarkersCyclinsFemaleFluorodeoxyglucose F18HumansPositron-Emission TomographyPositron Emission Tomography Computed TomographyRetrospective StudiesBiomarkersCyclinsFluorodeoxyglucose F1818F-FDG18F-FESCDK4/6 inhibitorMetastatic breast cancerPFS

Identifiers

PMID37787851
OpenAlexW4387296308

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.