Evidence map›Paper›PMID 41048648›Full record

ReviewMedical journal, Armed Forces India

Genomic newborn screening in India: Opportunities, evidence, and roadmap.

Bani Jolly, Vinod Scaria

Abstract readReview
In one paragraph

Review in Medical journal, Armed Forces India. 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

2 authors.

Bani JollySenior Scientist, Karkinos Healthcare Pvt. Ltd., IBC Knowledge Park, Bhavani Nagar, Bengaluru, Karnataka, India.
Vinod ScariaChief Data Officer, Karkinos Healthcare Pvt. Ltd., IBC Knowledge Park, Bhavani Nagar, Bengaluru, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic newborn screening (gNBS) is a new concept that leverages genomic sequencing for newborn screening (NBS) of genetic diseases, a subtle departure from the traditional biochemical approaches. gNBS is swiftly moving from small and isolated proof-of-concept studies to large-scale public health studies and implementation programs worldwide. Over the past decade, advances in sequencing technology, bioinformatics, and clinical genetics have expanded the scope of conditions that can be detected early, enabling timely interventions that improve outcomes. While traditional biochemical approaches for NBS have undoubtedly improved outcomes for many metabolic and endocrine disorders, they fail to detect conditions that do not have early biochemical markers and are also unable to scale up to a slew of new treatment approaches currently available for many genetic diseases. gNBS, therefore, provides a unique opportunity to diagnose early and identify actionable genetic risks, where early intervention can improve prognosis. Globally, pilot and implementation programs in the United Kingdom, the United States, Europe, and Australia are demonstrating feasibility, diagnostic yield, and public health value. India has a unique set of factors, including large birth cohorts, established health delivery systems, increasing rare-disease initiatives, and developing national genomic databases. These create a rare chance to create and test a gNBS program in India that focuses on actionable results. This review discusses the rationale, current global landscape, operational and ethical considerations, and India-specific opportunities and challenges for implementing gNBS as part of the national health strategy.

Indexed as

GenomicsgNBSNewborn screeningRare diseases

Identifiers

PMID41048648
PMCPMC12490590

What OpenQuestion holds

Textmetadata
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.