Evidence map›Paper›PMID 36637841›Full record

ArticleWMJ : official publication of the State Medical Society of Wisconsin2022

Surveillance for the Rare Condition of Sickle Cell Disease in Wisconsin.

Ashima Singh, Mahua Dasgupta, Dawn Retherford, Mei Baker, Mary Hulihan, Amanda M Brandow

Abstract read
In one paragraph

Article in WMJ : official publication of the State Medical Society of Wisconsin, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. US public health surveillance, reimagined.Learning health systems · 2024
    Article
  2. 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

6 authors.

Ashima SinghDepartment of Pediatrics, Section of Hematology/Oncology/Bone Marrow Transplantation, Medical College of Wisconsin, Milwaukee, Wisconsin, ashimasingh@mcw.edu.ORCID 0000-0002-1270-8132
Mahua DasguptaDepartment of Pediatrics, Section of Hematology/Oncology/Bone Marrow Transplantation, Medical College of Wisconsin, Milwaukee, Wisconsin.
Dawn RetherfordDepartment of Pediatrics, Section of Hematology/Oncology/Bone Marrow Transplantation, Medical College of Wisconsin, Milwaukee, Wisconsin.
Mei BakerWisconsin State Laboratory of Hygiene, University of Wisconsin, Madison, Wisconsin.
Mary HulihanDivision of Blood Disorders, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia.
Amanda M BrandowChildren's Wisconsin, Milwaukee, Wisconsin.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

introductionDespite universal newborn screening, there is no comprehensive surveillance system to understand the sickle cell disease population in Wisconsin.

methodsWe initiated the development of a sickle cell disease surveillance system by linking newborn screening data and electronic health records from 2 large tertiary health care institutions in Wisconsin: Children's Wisconsin and Froedtert Hospital.

resultsThere were 1478 individuals within the 3 data sources. One hundred thirty-two (82%) of 159 identified by newborn screening from 2013 through 2019 received care at Children's Wisconsin. The majority of individuals with sickle cell disease at Children's Wisconsin and Froedtert Hospital resided in Milwaukee County. DISCUSSION: The new surveillance program will increase our understanding of the sickle cell disease population in Wisconsin and help improve quality of care and health outcomes.

Indexed as

Anemia, Sickle CellChildElectronic Health RecordsHumansInfant, NewbornRare DiseasesWisconsin

Identifiers

PMID36637841
PMCPMC10026077

What OpenQuestion holds

Textmetadata
LicenceTDM
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.