Evidence map›Paper›PMID 35857172›Full record

ArticleAnnals of nuclear medicine2022

The feasibility of ultralow-activity

Jing Lv, Hongyan Yin, Haojun Yu, Guobing Liu, Hongcheng Shi

Abstract read
PubMed Publisher
In one paragraph

Article 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 23% 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, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Quantitation of dynamic total-body PET imaging: recent developments and future perspectives.European journal of nuclear medicine and molecular imaging · 2023
    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

5 authors at 2 institutions in 1 country.

Jing LvDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Hongyan YinDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Haojun YuDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Guobing LiuDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Hongcheng ShiDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China. shi.hongcheng@zs-hospital.sh.cn.
Fudan University · CNShanghai Institute of Hematology · CN

Funding

Clinical Research Plan of SHDC SHDC2020CR3079BScience and Technology Committee of Shanghai Municipality 20DZ2201800Shanghai Municipal Key Clinical Specialty Project shslczdzk03401Special Fund for Clinical Research of Zhongshan Hospital, Fudan University 2020ZSLC63The National Natural Science Foundation of China 82001863the Shanghai Sailing Program 19YF1408200The Youth Medical Talents-Medical Imaging Practitioner Program of Shanghai "Rising Stars of Medical Talent" Youth Development Program SHWRS [2020]087
6 · The paper itself

Abstract

objectiveTo explore the feasibility of ultralow-activity

methodsEight of 18 patients were randomly injected with

resultsEach of the fitted models has a satisfactory goodness-of-fit with R

conclusionsThe 10 × reduction of injected

Indexed as

Adenocarcinoma of LungLung NeoplasmsFeasibility StudiesFluorodeoxyglucose F18HumansPositron-Emission TomographyPositron Emission Tomography Computed TomographyRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticals2-[18F]-fluoro-2-deoxy-D-glucose (18F-FDG)Lung adenocarcinomaRadiation doseTotal-body dynamic PET imagingUltralow-activity

Identifiers

PMID35857172
OpenAlexW4285987788

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.