Evidence map›Paper›PMID 29355136›Full record

ReviewThe Indian journal of medical research2017

Evolution of technology for molecular genotyping in blood group systems.

Ajit Gorakshakar, Harita Gogri, Kanjaksha Ghosh

Open access · diamondAbstract readReview
In one paragraph

Review in The Indian journal of medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. A Distinct Approach for Molecular ABO Typing: A Case of Serology-Genotype Discrepancy Within a FamilyTurkish journal of haematology : official journal of Turkish Society of Haematology · 2026
    Article
  3. Rapid and Cost-EffectiveDiagnostics (Basel, Switzerland) · 2025
    Article
  4. Blood Group Testing.Frontiers in medicine · 2022
    Review
  5. Article
  6. 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 at 2 institutions in 1 country.

Ajit GorakshakarDepartment of Transfusion Medicine, ICMR- National Institute of Immunohaematology, Mumbai, India.
Harita GogriDepartment of Transfusion Medicine, ICMR- National Institute of Immunohaematology, Mumbai, India.
Kanjaksha GhoshSurat Raktadan Kendra & Research Centre, Surat, India.
ICMR - National Institute of Immunohaemotology · INSardar Vallabhbhai National Institute of Technology Surat · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular basis of the blood group antigens was identified first in the 1980s and 1990s. Since then the importance of molecular biology in transfusion medicine has been described extensively by several investigators. Molecular genotyping of blood group antigens is one of the important aspects and is successfully making its way into transfusion medicine. Low-, medium- and high-throughput techniques have been developed for this purpose. Depending on the requirement of the centre like screening for high- or low-prevalence antigens where antisera are not available, correct typing of multiple transfused patients, screening for antigen-negative donor units to reduce the rate of alloimmunization, etc. a suitable technique can be selected. The present review discusses the evolution of different techniques to detect molecular genotypes of blood group systems and how these approaches can be used in transfusion medicine where haemagglutination is of limited value. Currently, this technology is being used in only a few blood banks in India. Hence, there is a need for understanding this technology with all its variations.

Indexed as

Blood Grouping and CrossmatchingBlood Group AntigensHumansMolecular BiologyPolymorphism, Single NucleotideBlood Group Antigens

Identifiers

PMID29355136
PMCPMC5793464
OpenAlexW2786092291

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.