Evidence map›Paper›PMID 30122241›Full record

ReviewIndian heart journal2018

Kerala acute heart failure registry-Rationale, design and methods.

Joseph Stigi, A Jabir, G Sanjay, Jeemon Panniyammakal, C Varghese Anwar, S Harikrishnan

Abstract readReview
In one paragraph

Review in Indian heart journal, 2018. 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. Review
  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

6 authors.

Joseph StigiLittle Flower Hospital & Research Centre, Angamaly, India. Electronic address: drstigij@hotmail.com.
A JabirLisie Hospital, Ernakulam, India.
G SanjaySree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India.
Jeemon PanniyammakalSree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India.
C Varghese AnwarLittle Flower Hospital & Research Centre, Angamaly, India.
S HarikrishnanSree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India. Electronic address: drharikrishnan@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure (HF) is recognized as a major public health problem in both the low and high- income countries. However, data are scarce on the burden, prevailing practice patterns and long-term health outcomes of HF patients in India. The Kerala heart failure registry (KHFR) is a multi-centric, prospective, and hospital based registry in Kerala, India. Consecutive patients admitted with the diagnosis of acute heart failure satisfying the European Society of Cardiology (ESC) criteria will be enrolled in the registry. Data on demographic, clinical, laboratory, imaging, other diagnostics and therapeutic approaches employed and the usage of guideline based medical therapy will be collected as part of the registry. Additionally, all registered patients will be followed-up regularly at 1-month, and thereafter at every 3-months. Both mortality and hospital admission data will be collected during the follow-up visits. We will be recruiting 7500 HF patients in the KHFR. Once completed, KFHR is going to be the largest HF registry in India. We will validate a HF mortality risk score developed based on a previously conducted Trivandrum Heart Failure Registry in the KHFR patients.

Indexed as

Disease ManagementRegistriesResearch DesignAcute DiseaseCardiologyHeart FailureHumansIndiaCardiomyopathyCoronary artery diseaseGuideline directed medical therapyHeart failureRegistry

Identifiers

PMID30122241
PMCPMC6097170

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.