Evidence map›Paper›PMID 37711843›Full record

ArticleQuantitative imaging in medicine and surgery2023

Dynamic

Hongyan Yin, Guobing Liu, Hui Tan, Dai Shi, Dengfeng Cheng, Haojun Yu, Hongcheng Shi

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2023. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Distinguishing benign from malignant lesions with high [European journal of nuclear medicine and molecular imaging · 2025
    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

7 authors.

Hongyan Yin *Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Guobing Liu *Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Hui TanDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Dai ShiDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Dengfeng ChengDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Haojun YuDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Hongcheng ShiDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: Dynamic PET-CT scans over 60 min were acquired for 7 patients with localized pancreatic mass before surgery. Maximal and mean SUV (SUV Results: Among 6 patients, 8 primary tumors were histopathologically proven to be pNETs. Moreover, 6 lesions with high uptake of Conclusions: The uptake of

Indexed as

68Ga-DOTA0-Tyr3-octreotate (68Ga-DOTATATE)dynamic imagingpancreatic neuroendocrine tumorpositron emission tomography-computed tomography (PET-CT)

Identifiers

PMID37711843
PMCPMC10498240

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.