Evidence map›Paper›PMID 29244735›Full record

ReviewJournal of personalized medicine2017

Development of the Precision Link Biobank at Boston Children's Hospital: Challenges and Opportunities.

Florence T Bourgeois, Paul Avillach, Sek Won Kong, Michelle M Heinz, Tram A Tran, Ramkrishna Chakrabarty, Jonathan Bickel, Piotr Sliz, Erin M Borglund, Susan Kornetsky and 1 more

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Common and rare genetic variants explain distinct diagnostic variance in pediatric attention deficit hyperactivity disorder.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Genes · 2024
    Article
  8. Article
  9. Plasma Neurofilament Light Chain Is Elevated in Adaptor Protein Complex 4-Related Hereditary Spastic Paraplegia.Movement disorders : official journal of the Movement Disorder Society · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. A high-throughput phenotyping algorithm is portable from adult to pediatric populations.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

11 authors.

Florence T BourgeoisComputational Health Informatics Program (CHIP), Boston Children's Hospital, Boston, MA 02115, USA. florence.bourgeois@childrens.harvard.edu.
Paul AvillachComputational Health Informatics Program (CHIP), Boston Children's Hospital, Boston, MA 02115, USA. Paul_Avillach@hms.harvard.edu.
Sek Won KongComputational Health Informatics Program (CHIP), Boston Children's Hospital, Boston, MA 02115, USA. SekWon.Kong@childrens.harvard.edu.
Michelle M HeinzComputational Health Informatics Program (CHIP), Boston Children's Hospital, Boston, MA 02115, USA. Michelle.Heinz@childrens.harvard.edu.
Tram A TranBiobank Core Lab, Biorepository, Boston Children's Hospital, Boston, MA 02115, USA. Tram.Tran@childrens.harvard.edu.
Ramkrishna ChakrabartyInformation Services Department, Business Intelligence & Clinical Research Informatics, Boston Children's Hospital, Boston, MA 02115, USA. Ramkrishna.Chakrabarty@childrens.harvard.edu.
Jonathan BickelComputational Health Informatics Program (CHIP), Boston Children's Hospital, Boston, MA 02115, USA. Jonathan.Bickel@childrens.harvard.edu.
Piotr SlizComputational Health Informatics Program (CHIP), Boston Children's Hospital, Boston, MA 02115, USA. Piotr.Sliz@childrens.harvard.edu.
Erin M BorglundComputational Health Informatics Program (CHIP), Boston Children's Hospital, Boston, MA 02115, USA. Erin.Borglund@childrens.harvard.edu.
Susan KornetskyOffice of Clinical Investigations, Boston Children's Hospital, Boston, MA 02115, USA. Susan.Kornetsky@childrens.harvard.edu.
Kenneth D MandlComputational Health Informatics Program (CHIP), Boston Children's Hospital, Boston, MA 02115, USA. Kenneth.Mandl@childrens.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasingly, biobanks are being developed to support organized collections of biological specimens and associated clinical information on broadly consented, diverse patient populations. We describe the implementation of a pediatric biobank, comprised of a fully-informed patient cohort linking specimens to phenotypic data derived from electronic health records (EHR). The Biobank was launched after multiple stakeholders' input and implemented initially in a pilot phase before hospital-wide expansion in 2016. In-person informed consent is obtained from all participants enrolling in the Biobank and provides permission to: (1) access EHR data for research; (2) collect and use residual specimens produced as by-products of routine care; and (3) share de-identified data and specimens outside of the institution. Participants are recruited throughout the hospital, across diverse clinical settings. We have enrolled 4900 patients to date, and 41% of these have an associated blood sample for DNA processing. Current efforts are focused on aligning the Biobank with other ongoing research efforts at our institution and extending our electronic consenting system to support remote enrollment. A number of pediatric-specific challenges and opportunities is reviewed, including the need to re-consent patients when they reach 18 years of age, the ability to enroll family members accompanying patients and alignment with disease-specific research efforts at our institution and other pediatric centers to increase cohort sizes, particularly for rare diseases.

Indexed as

biorepositorybiospecimenspediatric biobank

Identifiers

PMID29244735
PMCPMC5748633

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.