Evidence map›Paper›PMID 38482317›Full record

ReviewJournal of family medicine and primary care2024

Preventive hepatology at AIIMS Rishikesh: Delivering comprehensive and integrated care for liver diseases in Northern state of India.

Ajeet Singh Bhadoria, Gaurika Saxena, Pragya Pandey, Amrita Mehndiratta, Abhishek Sadasivan, Rohit Gupta, Meenu Singh, Samiran Nundy

Open access · goldAbstract readReview
In one paragraph

Review in Journal of family medicine and primary care, 2024. 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
1.5field-weighted citation impact, top 18% 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, 4 citations in OpenAlex.

  1. Article
  2. Delivering comprehensive and integrated care in India.Journal of family medicine and primary care · 2024
    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

8 authors at 3 institutions in 1 country.

Ajeet Singh BhadoriaPreventive Hepatology Clinic, AIIMS Rishikesh, Uttarakhand, India.
Gaurika SaxenaPreventive Hepatology Clinic, AIIMS Rishikesh, Uttarakhand, India.
Pragya PandeyPreventive Hepatology Clinic, AIIMS Rishikesh, Uttarakhand, India.
Amrita MehndirattaPreventive Hepatology Clinic, AIIMS Rishikesh, Uttarakhand, India.
Abhishek SadasivanPreventive Hepatology Clinic, AIIMS Rishikesh, Uttarakhand, India.
Rohit GuptaGastroenterology, AIIMS Rishikesh, Uttarakhand, India.
Meenu SinghDirector, AIIMS Rishikesh, Uttarakhand, India.
Samiran NundyPresident, AIIMS Rishikesh, Uttarakhand, India.
All India Institute of Medical Sciences Bhopal · INAll India Institute of Medical Sciences RishikeshAll India Institute of Medical Sciences Raipur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, liver diseases accounts for 4% of all deaths. Annually, over 2 million deaths occur due to preventable causes of chronic liver diseases and liver cancer like fatty liver diseases (alcoholic or non alcoholic) and viral hepatitis B and C. The burden of chronic liver diseases are increasing, and the epidemiology and demographics of people affected by these diseases are changing. Policy changes, vaccination, screening, lifestyle changes and public health awareness is the key to curb down liver disaeses. To achieve the ultimate goal of reducing mortality and linkage to care for those who need specialized care for liver disease, it is vital to have dedicated preventive hepatology clinics in sync with existing liver or gastroenterology clinics at tertary care level.

Indexed as

Liver diseasespreventionpreventive hepatology

Identifiers

PMID38482317
PMCPMC10931909
OpenAlexW4391660499

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.