Evidence map›Paper›PMID 41500642›Full record

ArticleBMJ open2026

Comparative analysis of the manufacturing carbon footprint of biologics for severe asthma.

Haroon Taylor, Nazneen Rahman

Abstract readComparative Study
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Haroon TaylorYewMaker Ltd, London, UK.ORCID http://orcid.org/0009-0005-9923-5065
Nazneen RahmanYewMaker Ltd, London, UK nazneen@yewmaker.com.ORCID http://orcid.org/0000-0003-4376-0440

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo quantify, compare and analyse the carbon emissions of biologic treatments for severe asthma.

designCradle-to-gate carbon emissions (from raw materials to finished product) for six monoclonal antibody therapies, benralizumab, dupilumab, mepolizumab, omalizumab, reslizumab and tezepelumab, were estimated using Medicine Carbon Footprint Classifier, a standardised, mass-based method for medicine carbon footprinting. A representative patient, eligible for all therapies, was defined to enable comparisons. Sensitivity, scenario and pairwise analyses were conducted to explore variations in emissions and opportunities for reduction. OUTCOME MEASURES: The primary outcome was first-year carbon emissions of biologic treatments for a representative patient with severe asthma, expressed in kg CO

resultsFirst-year treatment emissions for the representative patient ranged from 1.1 kg CO

conclusionsThe carbon footprints of biologic treatments for severe asthma vary widely, driven primarily by differences in dose and manufacturer electricity sources. Our analyses highlight near-term opportunities to reduce emissions, including replacing fossil fuel electricity with renewable or nuclear sources (NFFE) and optimising dosing practices. The approach can be applied across other therapeutic areas to support carbon-informed prescribing and healthcare decarbonisation.

Indexed as

Anti-Asthmatic AgentsAntibodies, MonoclonalAsthmaBiological ProductsCarbon FootprintAntibodies, Monoclonal, HumanizedHumansAnti-Asthmatic AgentsAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedBiological ProductsAsthmaClimate ChangeDrug TherapyRespiratory Therapy

Identifiers

PMID41500642
PMCPMC12778224

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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.