Evidence map›Paper›PMID 30101918›Full record

ArticleInternal medicine (Tokyo, Japan)2018

CT-guided Biopsy for the Diagnosis of Pulmonary Epithelioid Hemangioendothelioma Mimicking Metastatic Lung Cancer.

Akiko Sasaki, Hideto Egashira, Hideyasu Sugimoto, Kenichi Seki, Toshitaka Tsukiyama, Chikamasa Ichita, Shinnosuke Tokoro, Satoshi Takizawa, Izumi Kitagawa, Shinichi Teshima and 1 more

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 42% 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, 9 citations in OpenAlex.

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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 at 1 institution in 1 country.

Akiko SasakiGastroenterology Medicine Center, Shonan Kamakura General Hospital, Japan.
Hideto EgashiraGastroenterology Medicine Center, Shonan Kamakura General Hospital, Japan.
Hideyasu SugimotoPulmonology, Shonan Kamakura General Hospital, Japan.
Kenichi SekiGeneral Internal Medicine, Shonan Kamakura General Hospital, Japan.
Toshitaka TsukiyamaIntervention Radiology (IVR) and Radiology, Shonan Kamakura General Hospital, Japan.
Chikamasa IchitaGastroenterology Medicine Center, Shonan Kamakura General Hospital, Japan.
Shinnosuke TokoroGastroenterology Medicine Center, Shonan Kamakura General Hospital, Japan.
Satoshi TakizawaIntervention Radiology (IVR) and Radiology, Shonan Kamakura General Hospital, Japan.
Izumi KitagawaGeneral Internal Medicine, Shonan Kamakura General Hospital, Japan.
Shinichi TeshimaDiagnostic Pathology, Shonan Kamakura General Hospital, Japan.
Makoto KakoGastroenterology Medicine Center, Shonan Kamakura General Hospital, Japan.
Shonan Kamakura General Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 69-year-old male patient presented with multiple lung nodules revealed by chest-computed tomography (CT) during a preoperative examination for an appendiceal tumor. The nodule diameters ranged from 2-10 mm without either pleural thickening or effusions. A fluorine-18-labeled fluorodeoxyglucose (

Indexed as

Tomography, X-Ray ComputedAgedDiagnosis, DifferentialFluorodeoxyglucose F18Hemangioendothelioma, EpithelioidHumansImage-Guided BiopsyLungLung NeoplasmsMaleMultiple Pulmonary NodulesPositron Emission Tomography Computed TomographyRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticalsminimally invasive proceduremultiple lung nodulesthoracoscopic biopsyvascular tumor

Identifiers

PMID30101918
PMCPMC6355408
OpenAlexW2885799432

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.