Evidence map›Paper›PMID 42237831›Full record

ReviewThe Indian journal of medical research2026

Navigating risk in biological quality testing: A guide for emerging laboratories.

Rashmi Shrivastava, Sanchi Goel, Niharika Trivedi, Neelima Mishra, Shalini Tewari

Abstract readReview
In one paragraph

Review in The Indian journal of medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Rashmi ShrivastavaQuality Management Unit, National Institute of Biologicals, Noida, Uttar Pradesh, India.
Sanchi GoelQuality Management Unit, National Institute of Biologicals, Noida, Uttar Pradesh, India.
Niharika TrivediQuality Management Unit, National Institute of Biologicals, Noida, Uttar Pradesh, India.
Neelima MishraQuality Management Unit, National Institute of Biologicals, Noida, Uttar Pradesh, India.
Shalini TewariQuality Management Unit, National Institute of Biologicals, Noida, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological products are inherently complex and highly sensitive to variations in testing conditions, rendering quality control (QC) testing laboratories particularly vulnerable to high-impact operational, analytical, and biosafety risks. Despite the emphasis on risk-based thinking in international standards, a structured laboratory-specific framework for identifying, assessing, and mitigating risks in biological product QC testing remains insufficiently articulated. This article presents a simplified approach for proactive identification of testing-related and occupational health risks, along with their mitigation and conversion into opportunities. The concept aligns with internationally accepted standards, including ISO/IEC Guide 51, ISO 31000:2018, ISO/IEC 17025:2017, and ICH Q9 guidelines. Implementation of this framework enhances the reliability of results, strengthens regulatory compliance, and improves patient and occupational safety. By addressing the gap in structured risk assessment for biological QC laboratories, the article provides practical guidance for implementing ISO/IEC 17025:2017 Clause 8.5 and enables continuous improvement through systematically converting identified risks into opportunities.

Indexed as

Biological ProductsLaboratoriesQuality ControlHumansRisk AssessmentBiological ProductsBiological productsICH Q9ISO/IEC 17025Quality control laboratoriesRisk assessmentRisk priority number

Identifiers

PMID42237831
PMCPMC13235568

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.