Evidence map›Paper›PMID 31133654›Full record

Trial reportScientific reports2019

Impact of renal dysfunction on the choice of diagnostic imaging, treatment strategy, and outcomes in patients with stable angina.

Takao Kato, Yukari Uemura, Masanao Naya, Mitsuru Momose, Naoya Matsumoto, Eriko Suzuki, Satoshi Hida, Takatomo Nakajima, Takao Yamauchi, Nagara Tamaki

Abstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Scientific reports, 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
–field-weighted citation impact
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.

  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

10 authors.

Takao KatoDepartment of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan. tkato75@kuhp.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0001-8213-7999
Yukari UemuraBiostatistics Division, Clinical Research Support Center, University of Tokyo Hospital, Tokyo, Japan.
Masanao NayaDepartment of Cardiovascular Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Mitsuru MomoseDepartment of Diagnostic Imaging and Nuclear Medicine, Tokyo Women's Medical University, Tokyo, Japan.
Naoya MatsumotoDepartment of Cardiology, Nihon University Hospital, Tokyo, Japan.
Eriko SuzukiDepartment of Nuclear Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Satoshi HidaDepartment of Cardiology, Tokyo Medical University, Tokyo, Japan.
Takatomo NakajimaSaitama Cardiovascular and Respiratory Center, Kumagaya, Japan.
Takao YamauchiCardiovascular medicine, Japan Community Health care Organization Sagamino Hospital, Sagamihara, Japan.
Nagara TamakiDepartment of Nuclear Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the interaction between the prognostic impact of a decrease in eGFR and the choice of initial diagnostic imaging modality for coronary artery disease. Out of 2878 patients who enrolled in the J-COMPASS study, 2780 patients underwent single photon emission computed tomography (SPECT), coronary computed tomography (CT) angiography, or coronary angiography (CAG) as an initial diagnostic test. After excluding patients with routine hemodialysis or lacked serum creatinine levels, 2096 patients in the non-decreased eGFR group (eGFR ≥ 60 ml/min/1.73 m

Indexed as

AgedAngina, StableComputed Tomography AngiographyCoronary AngiographyFemaleGlomerular Filtration RateHumansMaleMiddle AgedPrognosisRenal Insufficiency, ChronicTomography, Emission-Computed, Single-Photon

Identifiers

PMID31133654
PMCPMC6536514

What OpenQuestion holds

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Registered trials

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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.