Evidence map›Paper›PMID 33028924›Full record

ArticleScientific reports2020

Contrast medium administration with a body surface area protocol in step-and-shoot coronary computed tomography angiography with dual-source scanners.

Liang Jin, Yiyi Gao, Yingli Sun, Cheng Li, Pan Gao, Wei Zhao, Ming Li

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. 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
0.1field-weighted citation impact, top 48% 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, 3 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Liang Jin *Radiology Department, Huadong Hospital, Affiliated to Fudan University, Shanghai, China.
Yiyi Gao *Radiology Department, Huadong Hospital, Affiliated to Fudan University, Shanghai, China.
Yingli SunRadiology Department, Huadong Hospital, Affiliated to Fudan University, Shanghai, China.
Cheng LiRadiology Department, Huadong Hospital, Affiliated to Fudan University, Shanghai, China.
Pan GaoRadiology Department, Huadong Hospital, Affiliated to Fudan University, Shanghai, China.
Wei ZhaoRadiology Department, Huadong Hospital, Affiliated to Fudan University, Shanghai, China.
Ming LiRadiology Department, Huadong Hospital, Affiliated to Fudan University, Shanghai, China. liminghd77@126.com.
Fudan University · CNHuadong Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated the feasibility and image quality of prospective electrocardiography (ECG)-triggered coronary computed tomography angiography (CCTA) using a body surface area (BSA) protocol for contrast-medium (CM) administration on both second- and third-generation scanners (Flash and Force CT), without using heart rate control. One-hundred-and-eighty patients with suspected coronary heart disease undergoing CCTA were divided into groups A (BSA protocol for CM on Flash CT), B (body mass index (BMI)-matched patients; BMI protocol for CM on Flash CT), and C (BMI-matched patients; BSA protocol for CM on Force CT). Patient characteristics, quantitative and qualitative measures, and radiation dose were compared between groups A and B, and A and C. Of the 180 patients, 99 were male (median age, 62 years). Average BSA in groups A, B, and C was 1.80 ± 0.17 m

Indexed as

AgedComputed Tomography AngiographyContrast MediaCoronary AngiographyCoronary Artery DiseaseElectrocardiographyFemaleHumansMaleMiddle AgedContrast Media

Identifiers

PMID33028924
PMCPMC7541528
OpenAlexW3092258755

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.