Evidence map›Paper›PMID 37587421›Full record

ReviewBMC cancer2023

3D-based strain analysis and cardiotoxicity detection in cancer patients received chemotherapy.

Muhammad Azzam, Mohammad Wasef, Hani Khalaf, Ahmed Al-Habbaa

Open access · goldAbstract readReview
In one paragraph

Review in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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

4 authors at 2 institutions in 2 countries.

Muhammad AzzamCardiology department, Faculty of Medicine, Al-Azhar University, Cairo, Egypt.
Mohammad WasefQueen Alexandra Hospital, Portsmouth, UK.
Hani KhalafCardiology department, Faculty of Medicine, Al-Azhar University, Cairo, Egypt.
Ahmed Al-HabbaaCardiology department, Faculty of Medicine, Al-Azhar University, Cairo, Egypt. ahmedalhabbaa@azhar.edu.eg.ORCID http://orcid.org/0000-0002-0365-7652
Al-Azhar University · EGQueen Alexandra Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChemotherapy-induced cardiotoxicity has become a prevalent complication. Regular monitoring of patients who received chemotherapy using 3D strain parameters may aid in early detection of myocardial damage and its prevention. The purpose of this study was to evaluate the effectiveness of three-dimensional speckle tracking imaging (3D-STI) in diagnosing and predicting the likelihood of cardiotoxicity. This was achieved by conducting a systematic review of original research articles.

objectivesTo evaluate the role of 3D speckle tracking echocardiography in early detection of cardiotoxicity.

methodsRelevant case control studies published prior to December 2022 were extracted to assess cardiotoxicity by 3D STE in patients after chemotherapy.

resultsA total of 1991 chemotherapy treated patients and control patients were included in the present review via pooling 22 studies.

conclusions3D speckle tracking echocardiography has the utility of non-invasive and objective evaluation of changes in left ventricular function in cancer patients undergoing chemotherapy. ROSPERO REGISTRATION NO: Study ID, CRD42023383790 on PROSPERO: International prospective register of systematic reviews.

Indexed as

CardiotoxicityNeoplasmsCase-Control StudiesHumansMyocardium3DCancerCardiotoxicityChemotherapyStrain

Identifiers

PMID37587421
PMCPMC10428536
OpenAlexW4385876544

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.