Evidence map›Paper›PMID 32329553›Full record

ArticleHaemophilia : the official journal of the World Federation of Hemophilia2020

Occurrence rates of haemophilia among males in the United States based on surveillance conducted in specialized haemophilia treatment centres.

John Michael Soucie, Connie H Miller, Brandi Dupervil, Binh Le, Tyler W Buckner

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Haemophilia : the official journal of the World Federation of Hemophilia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07414511 (Hemophilia A Research Program), which is not on this map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 3% 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.

NCT07414511 recruitingnot on this mapstarted 2024, after this paper: background citation

Hemophilia A Research Program (HARP): An Observational Intergenerational Cohort Study of Hemophilia A and Factor VIII Immunogenicity

TypeobservationalSponsorUniversity of WashingtonRan2024 to 2029Enrolled500ConditionsHemophilia A, Hemophilia A, Severe, Factor VIII (FVIII), FVIII Deficiency
3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

  1. Pooled it
  2. Discovery and development of a bispecific antibody for the treatment of hemophilia.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Social vulnerability, access to care, and outcomes in hemophilia.Blood vessels, thrombosis & hemostasis · 2026
    Article
  7. Race, Ethnicity, and Hemophilia: A Scoping Review.Journal of racial and ethnic health disparities · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Treatment and Disease Burden in a Cohort of People With Haemophilia Without Inhibitors in the United States.Haemophilia : the official journal of the World Federation of Hemophilia · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  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

5 authors at 2 institutions in 1 country.

John Michael SoucieDivision of Blood Disorders, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID https://orcid.org/0000-0002-1563-6824
Connie H MillerDivision of Blood Disorders, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Brandi DupervilDivision of Blood Disorders, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Binh LeDivision of Blood Disorders, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Tyler W BucknerDivision of Hematology, University of Colorado School of Medicine, Aurora, CO, USA.
Centers for Disease Control and Prevention · USUniversity of Colorado Denver · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

introductionEstimates of the size and characteristics of the US haemophilia population are needed for healthcare planning and resource needs assessment. A network of comprehensive haemophilia treatment centres (HTCs) located throughout the United States receives federal support for diagnosis and management of haemophilia and other rare bleeding disorders.

aimEstimate the incidence and prevalence of haemophilia among US males using the HTC network.

methodsDuring the period 2012-2018, de-identified surveillance data were collected on all males who visited an HTC that included year of birth, gender, race, Hispanic ethnicity, residence zip code, haemophilia type and severity. Data from all patients were used to calculate period prevalence by haemophilia type, severity and state of residence. Data from a subset of patients born 1995-2014 were used to estimate incidence rates over the 20-year period.

resultsDuring the period, 21 748 males with haemophilia visited the HTCs resulting in an age-adjusted prevalence of 15.7 cases per 100 000 males (12 for haemophilia A and 3.7 for haemophilia B). Prevalence was higher among whites (15.1) than blacks (12.4) or Hispanics of either race (12.4). State-specific prevalence varied from 1.6 to 23.3 cases per 100 000. Based on 9587 males born during the index period, the average haemophilia incidence was 1 case per 4334 live male births.

conclusionBased on these data, we estimate that there are between 29 761 and 32 985 males with haemophilia living in the United States today, the majority of whom receive comprehensive care in specialized clinical centres.

Indexed as

AdolescentAdultAgedChildChild, PreschoolHemophilia AHumansInfantInfant, NewbornMaleMiddle AgedPopulation SurveillanceUnited StatesYoung Adulthaemophiliaincidenceprevalenceregistries

Identifiers

PMID32329553
PMCPMC8117262
OpenAlexW3017556747

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.