Evidence map›Paper›PMID 33603408›Full record

ArticleJournal of asthma and allergy2021

Optimal Management of Hereditary Angioedema: Shared Decision-Making.

Aleena Banerji, John Anderson, Douglas T Johnston

Abstract read
In one paragraph

Article in Journal of asthma and allergy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Optimizing conversations on treatment management in hereditary angioedema: healthcare professional and patient perspectives on long-term prophylaxis and shared decision-making.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2026
    Article
  6. Article
  7. The International/Canadian hereditary angioedema guideline.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Factors contributing to non-compliance with on-demand treatment guidelines in hereditary angioedema.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2025
    Article
  12. Article
  13. The complexities of decision-making associated with on-demand treatment of hereditary angioedema (HAE) attacks.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2024
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Review
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

3 authors.

Aleena BanerjiDivision of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Boston, MA, USA.
John AndersonClinical Research Center of Alabama, Birmingham, AL, USA.
Douglas T JohnstonAsthma and Allergy Specialists, Charlotte, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

All patients with hereditary angioedema (HAE) must have access to on-demand therapy to treat attacks and may benefit from prophylactic therapy to reduce the attack frequency. Treatment decisions should be individualized, based on patient preferences and needs. One method for facilitating individualized therapy is shared decision-making (SDM), a widely used methodology for making treatment decisions among multiple therapeutic options. We propose a three-phase "3D" model (Discover, Discuss, Decide) for SDM in HAE. The Discover phase focuses on improving the physician's understanding of the patient's needs and understanding of the available therapeutic choices. The Discuss phase considers the alternatives, allowing a collaborative, informed treatment selection in the Decision phase. The 3D model is an ongoing, iterative process based on the patient's changing needs and response to therapy. Uncovering the patient's therapy goals through appropriate questions during these phases can help uncover relevant information for treatment selection information. SDM based on the 3D model can be a beneficial tool for optimizing therapy in HAE.

Indexed as

adherencehereditary angioedemaindividualized therapyon-demand therapypatient preferenceprophylaxisquality of lifeshared decision-making

Identifiers

PMID33603408
PMCPMC7881782

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.