Evidence map›Paper›PMID 31432349›Full record

ArticleEmergency radiology2019

New CT-based diagnoses of torso cancer is low in the emergency department setting.

Inessa A Goldman, Alain Cunqueiro, Meir H Scheinfeld

Abstract read
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In one paragraph

Article in Emergency radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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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

3 authors at 1 institution in 1 country.

Inessa A GoldmanMontefiore Medical Center, Department of Radiology, Division of Emergency Radiology, Albert Einstein College of Medicine, 111 East 210 Street, Bronx, NY, 10467, USA.
Alain CunqueiroMontefiore Medical Center, Department of Radiology, Division of Emergency Radiology, Albert Einstein College of Medicine, 111 East 210 Street, Bronx, NY, 10467, USA.
Meir H ScheinfeldMontefiore Medical Center, Department of Radiology, Division of Emergency Radiology, Albert Einstein College of Medicine, 111 East 210 Street, Bronx, NY, 10467, USA. mscheinf@montefiore.org.ORCID http://orcid.org/0000-0001-8880-4318
Albert Einstein College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe incidence of new CT-based torso cancer diagnoses and the most commonly diagnosed cancer types in the emergency department (ED) setting are unknown. The purpose of our study was to determine the incidence and types of new CT-based torso cancer diagnoses in the ED.

methodsA total of 19,496 CT reports including all or parts of the torso from 2017 were searched for the keywords: "mass", "tumor", "neoplasm", "malignancy", or "cancer". Each report and corresponding medical record was evaluated for presence of a new cancer. Cases were scored as no cancer, subcentimeter lung nodule, known cancer, new cancer, or suspicious, but unconfirmed for new cancer. Each mass was characterized as symptom-related or incidental.

resultsAt least one keyword was found in 2086 reports. Of these 706, 126 and 905 were known cancer cases, subcentimeter lung nodules, and non-cancerous cases, respectively. There were 251 confirmed new cancers and 98 suspicious cases which lacked adequate diagnostic workup. Depending on whether only definite or definite and suspicious cases were included together, the number of new cancer cases per 100 torso CT exams was 1.3 or 1.8, respectively. Gastrointestinal, lung, pancreaticobiliary, urinary, and gynecologic cancers were most common. Only 58 of the confirmed cases (23%) were deemed as incidental findings.

conclusionCT-diagnosis of new torso cancers was uncommon in our setting. Still, while extensive knowledge of cancer staging may not be necessary for ED radiologists, knowledge of the most common types of cancer including gastrointestinal, lung, pancreaticobiliary, urinary, and gynecologic cancers may improve sensitivity for these diagnoses and may expedite appropriate referrals for the newly diagnosed patients.

Indexed as

Emergency Service, HospitalTomography, X-Ray ComputedAdolescentAdultAgedAged, 80 and overFemaleHumansIncidenceIncidental FindingsMaleMiddle AgedRetrospective StudiesThoracic NeoplasmsCancer diagnosisCancer incidenceCTDiagnosisEmergency department

Identifiers

PMID31432349
OpenAlexW2969220151

What OpenQuestion holds

Textmetadata
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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.