Evidence map›Paper›PMID 40069229›Full record

ArticleScientific reports2025

Assessing Hepatitis B virus infection, risk factors and immunization among particularly vulnerable tribal groups in Eastern India.

Haimanti Bhattacharya, Matrujyoti Pattnaik, Aparajita Swain, Ankita Padhi, Usha Kiran Rout, Rashmita Pradhan, Kavitha Ak, Jaya Singh Kshatri, Debdutta Bhattacharya, Sanghamitra Pati

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

10 authors.

Haimanti BhattacharyaDepartment of Microbiology & One Health, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Chandrasekharpur, Bhubaneswar, 751023, India.
Matrujyoti PattnaikDepartment of Microbiology & One Health, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Chandrasekharpur, Bhubaneswar, 751023, India.
Aparajita SwainDepartment of Microbiology & One Health, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Chandrasekharpur, Bhubaneswar, 751023, India.
Ankita PadhiDepartment of Microbiology & One Health, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Chandrasekharpur, Bhubaneswar, 751023, India.
Usha Kiran RoutDepartment of Microbiology & One Health, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Chandrasekharpur, Bhubaneswar, 751023, India.
Rashmita PradhanDepartment of Microbiology & One Health, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Chandrasekharpur, Bhubaneswar, 751023, India.
Kavitha AkICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Chandrasekharpur, Bhubaneswar, 751023, India.
Jaya Singh KshatriICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Chandrasekharpur, Bhubaneswar, 751023, India.
Debdutta BhattacharyaDepartment of Microbiology & One Health, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Chandrasekharpur, Bhubaneswar, 751023, India. drdebdutta.bhttacharya@yahoo.co.in.
Sanghamitra PatiDepartment of Microbiology & One Health, ICMR-Regional Medical Research Centre (Dept. of Health Research, Ministry of Health & Family Welfare, Govt. of India), Chandrasekharpur, Bhubaneswar, 751023, India. drsanghamitra12@gmail.com.

Funding

Scheduled Castes and Scheduled Tribes Research and Training Institute, Government of Odisha 1399/R-01/21
6 · The paper itself

Abstract

In a population-based survey, Hepatitis B virus (HBV) infection status, associated risk factors and vaccine coverage among the 4006 Particularly Vulnerable Tribal Groups (PVTG) participants of Odisha Tribal Family Health Survey (OTFHS) were assessed using various viral markers. All the HBsAg-positive sera were screened for viral load estimation, envelopment antigen (HBeAg) identification and liver profile parameters. The overall prevalence of HBsAg was 5.73% and the Kutia Khond tribes showed highest prevalence (17.85%; 95% CI:17.41-18.29) of HBsAg. Only 2.7% of children born following the implementation of hepatitis B vaccination were HBsAg positive. Among the children between 0 and 36 months, the vaccination coverage was 91% and mean Anti-HBs titre was 142.56 mIU/ml. Tattooing and piercing were found to be positively associated with high HBsAg positivity. Abnormal liver function (high SGOT and SGPT) occurred more often in HBeAg positive with high viral loads (> 2000 IU/ml). Given the high prevalence of HBV DNA with active viral replication, a strategy for regular monitoring and treatment of these individuals combined with risk factor management and health education in this indigenous population is urgently needed.

Indexed as

Hepatitis BHepatitis B virusAdolescentAdultChildChild, PreschoolFemaleHepatitis B e AntigensHepatitis B Surface AntigensHepatitis B VaccinesHumansImmunizationIndiaInfantInfant, NewbornMaleHepatitis B e AntigensHepatitis B Surface AntigensHepatitis B VaccinesDNA virusHepatitis BIndigenous populationPVTGTribal health

Identifiers

PMID40069229
PMCPMC11897223

What OpenQuestion holds

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Registered trials

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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.