Evidence map›Paper›PMID 35246829›Full record

ArticleJournal of echocardiography2022

Echocardiography image quality of global longitudinal strain in cardio-oncology: a prospective real-world investigation.

Noriko Iida, Kazuko Tajiri, Tomoko Ishizu, Rumi Sasamura-Koshizuka, Hideki Nakajima, Naoto Kawamatsu, Kimi Sato, Masayoshi Yamamoto, Tomoko Machino-Ohtsuka, Hiroko Bando and 3 more

Abstract read
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In one paragraph

Article in Journal of echocardiography, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Straining for More Evidence.JACC. CardioOncology · 2023
    Article
  8. Article
  9. Review
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

13 authors at 2 institutions in 1 country.

Noriko Iida *Department of Clinical Laboratory, Faculty of Medicine, Tsukuba University Hospital, Tsukuba, Japan.
Kazuko Tajiri *Department of Cardiology, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Japan.
Tomoko IshizuDepartment of Cardiology, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Japan. tomoco@md.tsukuba.ac.jp.ORCID 0000-0003-3794-899X
Rumi Sasamura-KoshizukaDepartment of Clinical Laboratory, Faculty of Medicine, Tsukuba University Hospital, Tsukuba, Japan.
Hideki NakajimaDepartment of Clinical Laboratory, Faculty of Medicine, Tsukuba University Hospital, Tsukuba, Japan.
Naoto KawamatsuDepartment of Cardiology, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Japan.
Kimi SatoDepartment of Cardiology, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Japan.
Masayoshi YamamotoDepartment of Cardiology, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Japan.
Tomoko Machino-OhtsukaDepartment of Clinical Laboratory Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Hiroko BandoDepartment of Breast and Endocrine Surgery, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Ikuo SekineDepartment of Medical Oncology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Yasushi KawakamiDepartment of Clinical Laboratory Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Masaki IedaDepartment of Cardiology, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, 305-8575, Japan.
University of Tsukuba · JPUniversity of Tsukuba Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeft-ventricular (LV) global longitudinal strain (GLS) has been reported to be a robust and sensitive marker of chemotherapy-induced cardiac damage. Image quality is paramount for accurate GLS measurements. In real-world cardio-oncology settings, the incidence of suboptimal echocardiography quality and its significance in clinical decision-making have not been well investigated. This prospective study examined the incidence and impact of suboptimal echocardiographic image quality on detecting subtle myocardial damage by chemotherapy.

methodsSeventy-seven consecutive patients with breast cancer (age, 52 ± 12 years, 76 women, 33 with left-sided breast cancer) were included in this study. Echocardiography was performed at 3-month intervals 1 year before and after chemotherapy initiation. We classified the image quality of each echocardiographic acquisition into three groups: optimal, suboptimal, or inadequate for speckle tracking.

resultsAmong the 376 examinations obtained during the cardiac monitoring, the image quality in 194 (52%) was optimal, suboptimal in 159 (42%), and inadequate in 23 (6%). The interobserver reproducibility was 0.91 in the optimal and 0.21 in the suboptimal group. In contrast, the optimal group showed progressive impairment in both GLS (p = 0.001) and LV ejection fraction (LVEF) (p < 0.001) during follow-up, and the suboptimal group showed a progressive decrease in LVEF (p = 0.006), but not in GLS (p = 0.13). Left-sided mammotomy and/or reconstruction surgery and high body mass index were significant determinants of suboptimal image quality.

conclusionsEven in cases of minor image quality impairment, the physician should assess GLS carefully to avoid errors in crucial clinical decision-making.

Indexed as

Breast NeoplasmsVentricular Dysfunction, LeftAdultEchocardiographyFemaleHumansMiddle AgedProspective StudiesReproducibility of ResultsStroke VolumeVentricular Function, LeftAnthracyclineCancer therapy-related cardiac dysfunctionCardiotoxicityEchocardiographyGlobal longitudinal strain

Identifiers

PMID35246829
OpenAlexW4214940518

What OpenQuestion holds

Textmetadata
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.