Evidence map›Paper›PMID 34115322›Full record

ArticleJournal of cardiovascular translational research2022

Changes in High-Frequency Intracardiac Electrogram Indicate Cardiac Ischemia.

Noam Omer, Elad Bergman, Tamir Ben-David, Shimmy Huri, Amir Beker, Shimon Abboud, Yair Granot, David Meerkin

Abstract read
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In one paragraph

Article in Journal of cardiovascular translational research, 2022. 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
0.8field-weighted citation impact, top 27% 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, 5 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 2 institutions in 1 country.

Noam OmerThe Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel. noamomer@mail.tau.ac.il.ORCID 0000-0003-2067-6211
Elad BergmanBSP Medical Ltd., Tel Aviv, Israel.
Tamir Ben-DavidBSP Medical Ltd., Tel Aviv, Israel.
Shimmy HuriBSP Medical Ltd., Tel Aviv, Israel.
Amir BekerBSP Medical Ltd., Tel Aviv, Israel.
Shimon AbboudThe Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel.
Yair GranotBSP Medical Ltd., Tel Aviv, Israel.
David MeerkinDepartment of Cardiology, Shaare Zedek Medical Center, Jerusalem, Israel.
Tel Aviv University · ILShaare Zedek Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-frequency QRS (HFQRS) analysis of surface ECG is a reliable marker of cardiac ischemia (CI). This study aimed to assess the response of HFQRS signals from standard intracardiac electrodes (iHFQRS) to CI in swine and compare them with conventional ST-segment deviations. Devices with three intracardiac leads were implanted in three swine in a controlled environment. CI was induced by inflating a balloon in epicardial coronary arteries. A designated signal-processing algorithm was applied to quantify the iHFQRS content before, during, and after each occlusion. iHFQRS time responses were compared to conventional ST-segment deviations. Thirty-three over thirty-nine (85%) of the occlusions presented significant reduction in the iHFQRS signal, preceding ST-segment change, being the only indicator of CI in brief occlusions. iHFQRS was found to be an early indicator for the onset of CI and demonstrated superior sensitivity to conventional ST-segment deviations during brief ischemic episodes.

Indexed as

Coronary Artery DiseaseMyocardial IschemiaAnimalsElectrocardiographyElectrophysiologic Techniques, CardiacIschemiaSwineCardiac ischemiaElectrogramHigh-frequency ECG

Identifiers

PMID34115322
OpenAlexW3170408869

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.