Evidence map›Paper›PMID 36910386›Full record

ArticleAfrican health sciences2022

Hepatitis B sero-prevalence among hematology patients: importance of Anti-HbcAb and efficiency of antiviral prophylaxis.

Funda Ugur Kantar, Selda Kahraman, Gulfem Ece, Seckin Cagırgan

Abstract read
In one paragraph

Article in African health sciences, 2022. 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. Article
  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

4 authors.

Funda Ugur KantarCigli State Hospital, Department of Gastroenterology, Izmir, Turkey.
Selda KahramanMedicalpark Izmir Hospital, Department of Hematology, Izmir, Turkey.
Gulfem EceIzmir University of Economics, School of Medicine, Medicalpark Izmir Hospital, Department of Medical Microbiology, Izmir, Turkey.
Seckin CagırganMedical park Izmir Hospital, Department of Hematology, Izmir, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Hepatitis B infection is an important problem in immune suppressed patients. Anti HbcAb is an important marker that shows past exposure to virus. In this study, we retrospectively searched HBV serology among the patients who had Bone Marrow Transplantation (BMT) or chemotherapies (CT) at Medicalpark Izmir Hospital Bone Marrow Transplantation Unit; changes in viral parameters throughout therapy; and tried to find the efficiency of antiviral prophylaxis. Methods: We retrospectively evaluated the viral parameters; HbsAg, Anti HbsAb, Anti Hbc IgG, HbeAg, Anti Hbe Ab, HBV DNA, HCV RNA which were carried out before BMT and CT. We grouped the patients as latent HBV infection and inactive carriers. Started antiviral treatment as prophylaxis, monitored the changes in serological parameters and defined HBV related situations. Results: A total of 584 patients were evaluated retrospectively. Twenty patients were having latent HBV infection. Ten patients were inactive carriers of HBV. In post-transplant period, the patients were screened for 11 months (1-38 months). None of the patients experienced HBV activation during follow period. Conclusion: The best approach in HbcAb positive patients with planned immunosuppressive treatment is the use of anti-viral agents before immune suppression and close monitoring of the patients HBV-related markers.

Indexed as

HematologyHepatitis BAntiviral AgentsDNA, ViralHepatitis B AntibodiesHepatitis B Surface AntigensHepatitis B virusHumansPrevalenceRetrospective StudiesAntiviral AgentsDNA, ViralHepatitis B AntibodiesHepatitis B Surface AntigensHematologic MalignancyHepatitis Bstem cell transplantation

Identifiers

PMID36910386
PMCPMC9993312

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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.