Evidence map›Paper›PMID 31550373›Full record

ArticleEuropean journal of public health2020

Constructing data-derived family histories using electronic health records from a single healthcare delivery system.

Maya Leventer-Roberts, Ilan Gofer, Yuval Barak Corren, Ben Y Reis, Ran Balicer

Abstract read
In one paragraph

Article in European journal of public health, 2020. 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
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. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Maya Leventer-RobertsClalit Research Institute, Tel Aviv, Israel.
Ilan GoferClalit Research Institute, Tel Aviv, Israel.
Yuval Barak CorrenPredictive Medicine Group & Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.
Ben Y ReisPredictive Medicine Group & Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.
Ran BalicerClalit Research Institute, Tel Aviv, Israel.

Funding

Data-Driven Family Histories: Precision Medicine Across GenerationsR01HG009129 · NHGRI · BOSTON CHILDREN'S HOSPITAL · PI REIS, BEN Y · 2016 to 2018
$1.1M
NHGRI NIH HHS R01 HG009129
6 · The paper itself

Abstract

backgroundIn order to examine the potential clinical value of integrating family history information directly from the electronic health records of patients' family members, the electronic health records of individuals in Clalit Health Services, the largest payer/provider in Israel, were linked with the records of their parents.

methodsWe describe the results of a novel approach for creating data-derived family history information for 2 599 575 individuals, focusing on three chronic diseases: asthma, cardiovascular disease (CVD) and diabetes.

resultsIn our cohort, there were 256 598 patients with asthma, 55 309 patients with CVD and 66 324 patients with diabetes. Of the people with asthma, CVD or diabetes, the percentage that also had a family history of the same disease was 22.0%, 70.8% and 70.5%, respectively.

conclusionsLinking individuals' health records with their data-derived family history has untapped potential for supporting diagnostic and clinical decision-making.

Indexed as

Cardiovascular DiseasesElectronic Health RecordsCohort StudiesDelivery of Health CareHumansIsrael

Identifiers

PMID31550373
PMCPMC7183366

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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.