Evidence map›Paper›PMID 35371938›Full record

ArticleQuantitative imaging in medicine and surgery2022

Quantitative analysis of

Guangyu Ma, Jin Du, Xiaojun Zhang, Jiajin Liu, Xiaodan Xu, Baixuan Xu, Zhiwei Guan

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2022. 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
1.7field-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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Observational
  2. DynamicQuantitative imaging in medicine and surgery · 2023
    Article
  3. 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

7 authors at 1 institution in 1 country.

Guangyu Ma *Department of Nuclear Medicine, Chinese PLA General Hospital, Beijing, China.
Jin Du *Department of Endocrinology, Chinese PLA General Hospital, Beijing, China.
Xiaojun ZhangDepartment of Nuclear Medicine, Chinese PLA General Hospital, Beijing, China.
Jiajin LiuDepartment of Nuclear Medicine, Chinese PLA General Hospital, Beijing, China.
Xiaodan XuDepartment of Nuclear Medicine, Chinese PLA General Hospital, Beijing, China.
Baixuan XuDepartment of Nuclear Medicine, Chinese PLA General Hospital, Beijing, China.
Zhiwei GuanDepartment of Nuclear Medicine, Chinese PLA General Hospital, Beijing, China.
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pheochromocytomas/paragangliomas (PPGLs) predominantly express somatostatin receptors (SSTRs) 2 and 3. Methods: This retrospective study reviewed consecutive patients referred to the Chinese PLA General Hospital, Beijing between April 2018 and December 2020 who underwent both biochemical testing for catecholamine and Results: A total of 38 patients with PPGLs and 21 with non-PPGLs tumors were included in the final analysis. When a general optimal threshold for adrenal tumors was applied in pheochromocytoma (PCC) diagnosis, the sensitivity, specificity, and accuracy of the SUVR and KS were 86.4% (19/22) and 90.9% (20/22), 92.9% (13/14) and 78.6% (11/14), and 88.9% (32/36) and 86.1% (31/36), respectively. The SUVR and KS diagnostic results showed no differences in paraganglioma (PGL) diagnosis, with a sensitivity, specificity, and accuracy of 43.8% (7/16), 100.0% (7/7), and 60.9% (14/23), respectively. Using PPGL-specific optimal thresholds improved the diagnostic accuracy for extra-adrenal tumors. The diagnostic results of the SUVR and KS showed high concordance in both general and subgroup analyses. When PPGL-specific optimal thresholds were used, Conclusions: Applying PPGL-specific thresholds of

Indexed as

68Ga-DOTA(0)-Tyr(3)-octreotate (68Ga-DOTA-TATE)differential diagnosispheochromocytoma/paraganglioma (PPGL)positron emission tomography/computed tomography (PET/CT)

Identifiers

PMID35371938
PMCPMC8923848
OpenAlexW4205812104

What Socratic 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 Socratic graph.