Evidence map›Paper›PMID 37464839›Full record

ArticleTechnology in cancer research & treatment

Prognostic Predicting Model of Pancreatic Body Tail Carcinoma Using Clinical and CT Radiomic Data.

Peng An, Yong Lin, Junyan Zhang, Yan Hu, Ping Qin, Yingjian Ye, Xiumei Li, Guoyan Feng, Jinsong Wang

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 1 country.

Peng AnDepartment of Radiology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.ORCID 0000-0002-0048-2738
Yong LinDepartment of Radiology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Junyan ZhangDepartment of Internal Medicine, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China.
Yan HuDepartment of Pancreatic Surgery, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Ping QinDepartment of Pancreatic Surgery, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Yingjian YeDepartment of Radiology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.ORCID 0000-0001-6220-0866
Xiumei LiDepatment of Radiology, Hubei Clinical Research Center of Parkinson's disease, Xiangyang Key Laboratory of Movement Disorders, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei Province, P.R.C.
Guoyan FengDepartment of Radiology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Jinsong WangDepartment of Internal Medicine, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China.
Hubei University of Medicine · CNHubei University of Arts and Science · CN

Funding

Hubei University of Medicine, Xiangyang Science and Technology Plan Key Project Fund XYY2021Q16, YJ2022013, AND 2022YL34A)
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

CarcinomaNeoplasm Recurrence, LocalHumansPancreatic NeoplasmsPrognosisRetrospective StudiesTomography, X-Ray Computedand metastasis stagecombined modelcomputed tomographyendoscopic ultrasound biopsynerve invasionnodepancreatic body tail cancerpredictive performanceprognosisradiomicstumorvascular invasion

Identifiers

PMID37464839
PMCPMC10363996
OpenAlexW4384663557

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.