Evidence map›Paper›PMID 29515625›Full record

ArticleFrontiers in genetics2018

Transferring Exome Sequencing Data from Clinical Laboratories to Healthcare Providers: Lessons Learned at a Pediatric Hospital.

Rajeswari Swaminathan, Yungui Huang, Katherine Miller, Matthew Pastore, Sayaka Hashimoto, Theodora Jacobson, Danielle Mouhlas, Simon Lin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 98% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Rajeswari SwaminathanResearch Information Solutions and Innovation, The Research Institute at Nationwide Children's Hospital, Columbus, OH, United States.
Yungui HuangResearch Information Solutions and Innovation, The Research Institute at Nationwide Children's Hospital, Columbus, OH, United States.
Katherine MillerResearch Information Solutions and Innovation, The Research Institute at Nationwide Children's Hospital, Columbus, OH, United States.
Matthew PastoreDivision of Molecular and Human Genetics, Nationwide Children's Hospital, Columbus, OH, United States.
Sayaka HashimotoInstitute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, United States.
Theodora JacobsonInstitute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, United States.
Danielle MouhlasInstitute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, United States.
Simon LinResearch Information Solutions and Innovation, The Research Institute at Nationwide Children's Hospital, Columbus, OH, United States.
Nationwide Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adoption rate of genome sequencing for clinical diagnostics has been steadily increasing leading to the possibility of improvement in diagnostic yields. Although laboratories generate a summary clinical report, sharing raw genomic data with healthcare providers is equally important, both for secondary research studies as well as for a deeper analysis of the data itself, as seen by the efforts from organizations such as American College of Medical Genetics and Genomics and Global Alliance for Genomics and Health. Here, we aim to describe the existing protocol of genomic data sharing between a certified clinical laboratory and a healthcare provider and highlight some of the lessons learned. This study tracked and subsequently evaluated the data transfer workflow for 19 patients, all of whom consented to be part of this research study and visited the genetics clinic at a tertiary pediatric hospital between April 2016 to December 2016. Two of the most noticeable elements observed through this study are the manual validation steps and the discrepancies in patient identifiers used by a clinical lab vs. healthcare provider. Both of these add complexity to the transfer process as well as make it more susceptible to errors. The results from this study highlight some of the critical changes that need to be made in order to improve genomic data sharing workflows between healthcare providers and clinical sequencing laboratories.

Indexed as

clinical genomicsgenomic data sharinggenomic data transferinteroperabilitylaboratory workflowswhole exome sequencing

Identifiers

PMID29515625
PMCPMC5826334
OpenAlexW2793991540

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.