Evidence map›Paper›PMID 35940234›Full record

ReviewIndian heart journal

Guidelines for dyslipidemia management in India: A review of the current scenario and gaps in research.

Sanjana Misra, Tanica Lyngdoh, Rubina Mulchandani

Abstract readReview
In one paragraph

Review in Indian heart journal. 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
–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

9 citing papers in PubMed.

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

3 authors.

Sanjana MisraIndian Institute of Public Health-Delhi, Public Health Foundation of India, Gurgaon, India. Electronic address: sanjanamisra7@gmail.com.
Tanica LyngdohIndian Institute of Public Health-Delhi, Public Health Foundation of India, Gurgaon, India; Epidemiology and Communicable Diseases Division, Indian Council of Medical Research, New Delhi, India. Electronic address: lyngdoh.t@icmr.gov.in.
Rubina MulchandaniIndian Institute of Public Health-Delhi, Public Health Foundation of India, Gurgaon, India. Electronic address: rubinamulchandani19@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular Diseases (CVD) have a high disease burden in India. Dyslipidemia, a major CVD risk factor, requires effective management. Our review describes the appropriateness of the international dyslipidemia guidelines in the Indian context. A systematic search was performed in PubMed, Google Scholar, Cochrane Library and Science Direct to obtain relevant articles. Dyslipidemia management guidelines by western medical associations are based on their studies, with ethnic minorities underrepresented and biological features of other racial groups inadequately incorporated. The Lipid Association of India (LAI) came up with a consensus statement guided by an expert panel to adapt the western guidelines to Indians. However, absence of Indian guidelines has led to physicians basing treatment on individual preference, contributing to heterogeneity. Our review underscores the need for formulating Indian dyslipidemia management guidelines and CV risk estimation algorithms, highlighting the scope for further research. This could supplement the clinical expertise of LAI and enhance patient experience.

Indexed as

Cardiovascular DiseasesDyslipidemiasAsian PeopleConsensusConsensus Statements as TopicHumansIndiaRacial GroupsCardiovascular diseaseDyslipidemiaDyslipidemia managementIndiaLipids

Identifiers

PMID35940234
PMCPMC9647649

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.