Evidence map›Paper›PMID 39027806›Full record

ReviewCureus2024

Management of Long QT Syndrome: A Systematic Review.

Wilhelmina N Hauwanga, Ryan Chun Chien Yau, Kang Suen Goh, Jose Ittay Castro Ceron, Berley Alphonse, Gurinder Singh, Sara Elamin, Vaishnavi Jamched, Aaron A Abraham, Joshi Purvil and 5 more

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

15 authors.

Wilhelmina N HauwangaFamily Medicine, Faculty of Medicine, Federal University of the State of Rio de Janeiro, Rio de Janeiro, BRA.
Ryan Chun Chien YauInternal Medicine, Monash University Malaysia, Johor Bahru, MYS.
Kang Suen GohInternal Medicine, Monash University Malaysia, Johor Bahru, MYS.
Jose Ittay Castro CeronNeurosurgery, Fluminense Federal University, Niterói, BRA.
Berley AlphonseNeurosurgery, Fluminense Federal University, Niterói, BRA.
Gurinder SinghNeurosurgery, Fluminense Federal University, Niterói, BRA.
Sara ElaminNeurosurgery, Fluminense Federal University, Niterói, BRA.
Vaishnavi JamchedNeurosurgery, Fluminense Federal University, Niterói, BRA.
Aaron A AbrahamNeurosurgery, Fluminense Federal University, Niterói, BRA.
Joshi PurvilNeurosurgery, Fluminense Federal University, Niterói, BRA.
Jeshua N DevanNeurosurgery, Fluminense Federal University, Niterói, BRA.
Gabriella ValentimPublic Health, Fluminense Federal University, Niterói, BRA.
Billy McBenedictNeurosurgery, Fluminense Federal University, Niterói, BRA.
Bruno Lima PessôaNeurosurgery, Fluminense Federal University, Niterói, BRA.
Evandro T MesquitaClinical Medicine, Antônio Pedro University Hospital, Niterói, BRA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long QT syndrome (LQTS) is a cardiac disorder characterized by prolonged repolarization of the heart's electrical cycle, which can be observed as an extended QT interval on an electrocardiogram (ECG). The safe and effective management of LQTS often necessitates a multifaceted approach encompassing pharmacological treatment, lifestyle modifications, and, in high-risk cases, the implantation of implantable cardioverter-defibrillators (ICDs). Beta-blockers, particularly nadolol and propranolol, are foundational in treating LQTS, especially for high-risk patients, though ICDs are recommended for those with a history of cardiac arrest or recurrent arrhythmic episodes. Intermediate and low-risk patients are usually managed with medical therapy and regular monitoring. Lifestyle modifications, such as avoiding strenuous physical activities and certain medications, play a critical role. Additionally, psychological support is essential due to the anxiety and depression associated with LQTS. Left cardiac sympathetic denervation (LCSD) offers an alternative for those intolerant to beta-blockers or ICDs. For diagnosis and management, advancements in artificial intelligence (AI) are proving beneficial, enhancing early detection and risk stratification. Despite these developments, significant gaps in understanding the pathophysiology and optimal management strategies for LQTS remain. Future research should focus on refining risk stratification, developing new therapeutic approaches, and generating robust data to guide treatment decisions, ultimately aiming for a personalized medicine approach.

Indexed as

beta-blockersimplantable cardioverter-defibrillator (icd)left cardiac sympathetic denervation (lcsd)long qttherapeutic

Identifiers

PMID39027806
PMCPMC11257643

What OpenQuestion holds

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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.