Evidence map›Paper›PMID 37711769›Full record

ArticleQuantitative imaging in medicine and surgery2023

Multiparameter diagnostic model based on

Guanyun Wang, Lei Du, Xia Lu, Shengxin Chen, Xiao Bi, Mingyu Zhang, Xiaohui Luan, Xiaodan Xu, Zhuochao Zhang, Baixuan Xu and 1 more

Abstract read
PubMed Full text at PMC Publisher
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. 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

11 authors.

Guanyun Wang *Department of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Lei Du *Department of Nuclear Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Xia LuDepartment of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Shengxin ChenGraduate School, Chinese PLA General Hospital, Beijing, China.
Xiao BiDepartment of Nuclear Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Mingyu ZhangDepartment of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Xiaohui LuanDepartment of Nuclear Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Xiaodan XuDepartment of Nuclear Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Zhuochao ZhangFaculty of Hepato-Pancreato-Biliary Surgery, Chinese PLA General Hospital, Beijing, China.
Baixuan XuDepartment of Nuclear Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Jigang YangDepartment of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: A total of 127 patients (43 with f-AIP and 84 with PDAC) who received Results: Serum immunoglobulin G4 (IgG4) >280 mg/dL, carbohydrate antigen 19-9 (CA19-9) <85 U/mL, and metabolic parameters differed significantly between patients with f-AID and PDAC. The ROC curve analysis of MTV showed the highest differentiating diagnostic value [sensitivity =0.814, 95% confidence interval (CI): 0.661-0.911; specificity =0.893, 95% CI: 0.802-0.947; area under the curve (AUC) =0.890, 95% CI: 0.820-0.957]. The combined diagnostics model of serum IgG4 >280 mg/dL, CA19-9 <85 U/mL, and MTV resulted in the highest AUC of 0.991 (95% CI: 0.978-1.000; sensitivity =0.953, 95% CI: 0.829-0.992; specificity =0.964, 95% CI: 0.892-0.991). Conclusions: The multiparameter diagnostic model based on

Indexed as

differential diagnosisfocal autoimmune pancreatitis (f-AIP)metabolic parameterspancreatic ductal adenocarcinoma (PDAC)Positron emission tomography (PET)

Identifiers

PMID37711769
PMCPMC10498237

What OpenQuestion holds

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Registered trials

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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.