Evidence map›Paper›PMID 36003788›Full record

ArticleFrontiers in oncology2022

Xiu-Qing Xue, Wen-Ji Yu, Xun Shi, Xiao-Liang Shao, Yue-Tao Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Development and validation of a machine learning-basedCancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  4. Review
  5. Article
  6. More than meets the eye: 2-[European journal of nuclear medicine and molecular imaging · 2024
    Article
  7. 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 at 2 institutions in 1 country.

Xiu-Qing XueDepartment of Nuclear Medicine, The First People's Hospital of Yancheng, Yancheng, China.
Wen-Ji YuDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Xun ShiDepartment of Nuclear Medicine, The First People's Hospital of Yancheng, Yancheng, China.
Xiao-Liang ShaoDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Yue-Tao WangDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Soochow University · CNYancheng First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Lymph node metastasis (LNM) is not only one of the important factors affecting the prognosis of gastric cancer but also an important basis for treatment decisions. The purpose of this study was to investigate the value of the radiomics nomogram based on preoperative Methods: We retrospectively analyzed radiomics features of preoperative Results: There was no significant difference between the internal verification and external verification of the clinical data of patients (all Conclusions: Radiomics nomogram based on the primary tumor of

Indexed as

gastric cancerlymph node metastasis (LNM)nomogrampositron emission tomography - computed tomography (PET-CT)radiomics

Identifiers

PMID36003788
PMCPMC9393365
OpenAlexW4290546509

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.