Evidence map›Paper›PMID 38164231›Full record

ArticleAsia Oceania journal of nuclear medicine & biology2024

Effectiveness of

Tomonori Chikasue, Seiji Kurata, Shuji Nagata, Shuichi Tanoue, Akiko Sumi, Mizuki Gobaru, Toru Hisaka, Toshihiro Hashiguchi, Takuya Furuta, Jun Akiba and 2 more

Open access · greenAbstract readCase Reports
In one paragraph

Article in Asia Oceania journal of nuclear medicine & biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 100% 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, 1 synthesis or guideline pooled it, 0 citations in OpenAlex.

  1. Pooled it
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

12 authors at 2 institutions in 1 country.

Tomonori ChikasueDepartment of Radiology, Kurume University School of Medicine, Kurume, Japan.
Seiji KurataDepartment of Radiology, Kurume University School of Medicine, Kurume, Japan.
Shuji NagataDepartment of Radiology, Kurume University School of Medicine, Kurume, Japan.
Shuichi TanoueDepartment of Radiology, Kurume University School of Medicine, Kurume, Japan.
Akiko SumiDepartment of Radiology, Kurume University School of Medicine, Kurume, Japan.
Mizuki GobaruDivision of Endocrinology and Metabolism, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan.
Toru HisakaDepartment of Surgery, Kurume University School of Medicine, Kurume, Japan.
Toshihiro HashiguchiDepartment of Surgery, Kurume University School of Medicine, Kurume, Japan.
Takuya FurutaDepartment of Diagnostic Pathology, Kurume University Hospital, Kurume, Japan.
Jun AkibaDepartment of Diagnostic Pathology, Kurume University Hospital, Kurume, Japan.
Kiminori FujimotoDepartment of Radiology, Kurume University School of Medicine, Kurume, Japan.
Toshi AbeDepartment of Radiology, Kurume University School of Medicine, Kurume, Japan.
Kurume University · JPKurume University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 50-year-old woman was diagnosed with iron deficiency anemia on general medical examination. Further, contrast-enhanced abdominal CT and magnetic resonance imaging revealed a large hypervascular mass with internal degeneration and necrosis in the retroperitoneal space. She was referred to our hospital for further evaluation and treatment. Because the paraganglioma was most likely as the imaging diagnosis,

Indexed as

123I-MIBG scintigraphy18F-FDG PET/CTLung metastasisParagangliomaRetroperitoneal tumor

Identifiers

PMID38164231
PMCPMC10757060
OpenAlexW4390508092

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.