Evidence map›Paper›PMID 35557562›Full record

ArticleJournal of gastrointestinal oncology2022

Value of

Shengxu Li, Duanyu Lin, Mingdeng Tang, Daojia Liu, Qinghu Lyu, Jieping Zhang

Abstract read
In one paragraph

Article in Journal of gastrointestinal oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Cancers · 2026
    Article
  4. Article
  5. Frontiers in medicine · 2025
    Article
  6. Article
  7. Annals of translational medicine · 2022
    Article
  8. Clinical significance ofEuropean journal of medical research · 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

6 authors.

Shengxu LiDepartment of Nuclear Medicine, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, China.
Duanyu LinDepartment of Nuclear Medicine, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, China.
Mingdeng TangDepartment of Nuclear Medicine, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, China.
Daojia LiuDepartment of Nuclear Medicine, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, China.
Qinghu LyuDepartment of Nuclear Medicine, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, China.
Jieping ZhangDepartment of Nuclear Medicine, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Malignant primary gastric gastrointestinal stromal tumors (gGISTs) without treatment with imatinib are prone to bleeding and peritoneum implantation during operation. Therefore, preoperative assessment of the malignant potential of gGIST is essential. The use of Methods: Patients who were diagnosed with gGIST by pathology and underwent Results: The SUVmax, tumor diameter, Ki-67 index, and mitotic count of the 26 gGIST patients were 5.90±4.49, 7.40±4.92 cm, 7.62%±11.76%, (5.96±3.19)/50 high-power field (HPF), respectively. SUVmax was significantly correlated with GIST risk category, Ki-67 index, and mitotic count (r=0.855, 0.860, and 0.690, all P<0.01) but not with tumor diameter (r=0.383, P=0.054). The SUVmax of gGIST was 7.00±4.57 in the malignant group (moderate or high NIH risk category in 20 patients), which was significantly different from that (2.25±0.77) in the benign group (low or extremely low NIH risk category in 6 patients) ( Conclusions: SUVmax may be used as a complementary indicator for predicting the malignant potential of gGISTs before treatment.

Indexed as

18F-fluorodeoxyglucose (18F-FDG)Gastric gastrointestinal stromal tumors (gGISTs)maximum standardized uptake value (SUVmax)positron emission tomography (PET)risk classification

Identifiers

PMID35557562
PMCPMC9086061

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.