Evidence map›Paper›PMID 25808011›Full record

ArticleTransfusion2015

Financial implications of RHD genotyping of pregnant women with a serologic weak D phenotype.

Seema Kacker, Ralph Vassallo, Margaret A Keller, Connie M Westhoff, Kevin D Frick, S Gerald Sandler, Aaron A R Tobian

Open access · bronzeAbstract read
In one paragraph

Article in Transfusion, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Proceed with care: the "uncommon" serologic weak D phenotypes.Blood transfusion = Trasfusione del sangue · 2021
    Article
  5. CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2021
    Article
  6. Article
  7. Modern Rhesus (Rh) typing in transfusion and pregnancy.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Anti-D Antibodies in Pregnant D Variant Antigen Carriers Initially Typed as RhD.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2016
    Article
  14. Article
  15. A model for integrating molecular-based testing in transfusion services.Blood transfusion = Trasfusione del sangue · 2016
    Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Seema KackerDepartment of Pathology, Johns Hopkins University, Baltimore, Maryland.
Ralph VassalloNational Molecular Laboratory, American Red Cross, Philadelphia, Pennsylvania.
Margaret A KellerNational Molecular Laboratory, American Red Cross, Philadelphia, Pennsylvania.
Connie M WesthoffBlood Group Genomics, New York Blood Center, New York.
Kevin D FrickCarey School of Business, Johns Hopkins University, Baltimore, Maryland.
S Gerald SandlerDepartment of Pathology and Laboratory Medicine, MedStar Georgetown University Hospital, Washington, DC.
Aaron A R TobianDepartment of Pathology, Johns Hopkins University, Baltimore, Maryland.
Johns Hopkins University · USAmerican Red Cross · USGeorgetown University · USNew York Blood Center · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007309 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI COX, ANDREA L · 1985 to 2019
$43.2M
Medical Scientist Training ProgramT32GM136577 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ANDREA L COX · 2020 to 2026
$13.4M
NIGMS NIH HHS T32 GM007309NIGMS NIH HHS T32 GM136577
6 · The paper itself

Abstract

backgroundHemolytic disease of the fetus and newborn, classically caused by maternal-fetal incompatibility of the Rh blood group D antigen, can be prevented by RhIG prophylaxis. While prophylactic practices for pregnant women with serologic weak D phenotypes vary widely, RHD genotyping could provide clear guidance for management. This analysis evaluated the financial implications of using RHD genotyping to guide RhIG prophylaxis among pregnant females. STUDY DESIGN AND

methodsA Markov-based model was constructed to evaluate the costs of RHD genotyping for pregnant females with serologic weak D phenotypes to inform RhIG prophylaxis. Using a comparison strategy of managing these women conservatively as D-, direct medical costs were assessed over 10- and 20-year periods for a simulated population of US women. One-way and probabilistic sensitivity analyses were used to assess the robustness of conclusions.

resultsUsing base-case variables, RHD genotyping for pregnant women with serologic weak D phenotypes is expected to marginally reduce overall costs. RHD genotyping these patients, rather than conservatively managing them as D-, would be cost-saving when the cost of genotyping is below $256. Genotyping would decrease net costs among non-Hispanic Caucasian females (-$0.17/pregnancy), but would increase costs among non-Hispanic African Americans (+$0.51/pregnancy), non-Hispanic American Indian/Alaskans (+$0.10/pregnancy), and Hispanics (+$0.37/pregnancy). Incorporating RHD genotyping would not significantly impact costs among Asians and Hawaiians/Pacific Islanders.

conclusionsUsing RHD genotyping to guide RhIG prophylaxis among pregnant women with serologic weak D phenotypes may be clinically beneficial without increasing overall costs.

Indexed as

Erythroblastosis, FetalModels, EconomicAdultCosts and Cost AnalysisFemaleGenotyping TechniquesHumansMarkov ChainsPregnancyRh-Hr Blood-Group SystemUnited StatesRh-Hr Blood-Group SystemRho(D) antigen

Identifiers

PMID25808011
PMCPMC4739823
OpenAlexW1584255109

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.