Evidence map›Paper›PMID 35801627›Full record

ArticleHealth (London, England : 1997)2023

Creating an (ethical) epistemic space for the normalization of clinical and "real food" oral immunotherapy for food allergy.

Stephanie A Nairn

Abstract read
In one paragraph

Article in Health (London, England : 1997), 2023. 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. Review
  2. Historical and social science perspectives on food allergy.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2023
    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

1 author.

Stephanie A NairnUniversité de Montréal, Canada.ORCID 0000-0002-6273-0290

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Researchers and sociologists have argued the consequences of standardization vis-à-vis clinical practice guidelines are diverse and argue they should be explored empirically. Sociologists have also argued that "best evidence" for the development of clinical practice guidelines is not restricted to randomized controlled trials and that other forms of knowledge should be embedded in and inform CPGs. There is little research concerning how other types of knowledge are mobilized and taken up in CPGs. This article presents the results of an ethnographic investigation in Canada between 2015 and 2020 of the development of a clinical practice guideline for immunotherapy for food allergy. My research shows that immunotherapy has become the source of controversy regarding whether immunotherapy should be offered in the clinic or remain experimental and whether it should be offered using food or commercial products. I argue that the clinical practice guideline for oral immunotherapy reaffirms what has been previously noted by sociologists; guidelines can serve normative purposes and are not merely technical documents. This case study is unique as it demonstrates how guidelines can serve as "community-making devices" to consolidate "epistemic communities" through the explicit and formal mobilization of ethical principles alongside other forms of "traditional" evidence. The mobilization of a multi-criteria approach that included ethical principles was mobilized in part to counter the de-legitimization and peripheralization of clinical and real food oral immunotherapy.

Indexed as

Food HypersensitivityAnthropology, CulturalCanadaFoodHumansImmunotherapyclinical practice guidelineevidence based medicinefood allergyimmunotherapymulti-criteria approach

Identifiers

PMID35801627
PMCPMC10588265

What OpenQuestion holds

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Registered trials

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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.