Evidence map›Paper›PMID 41563708›Full record

ArticleAdvances in therapy2026

An Efficient Screening Life Cycle Assessment Approach: Assessing the Environmental Impact of Dialysis Treatments.

Kim Seemann, Carla Fernández-Barceló, Sergey Makaryan, Tobias Veith, Sophie Boeger, Dana Kendzia

Abstract read
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Article in Advances in therapy, 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

6 authors.

Kim SeemannCoreva Scientific GmbH & Co. KG, 53639, Königswinter, North Rhine Westphalia, Germany. peer-review@coreva-scientific.com.ORCID 0009-0004-9373-4528
Carla Fernández-BarcelóCoreva Scientific GmbH & Co. KG, 53639, Königswinter, North Rhine Westphalia, Germany.ORCID 0000-0001-5495-879X
Sergey MakaryanFresenius Medical Care Deutschland GmbH, 61352, Bad Homburg vor der Höhe, Hessen, Germany.
Tobias VeithFresenius Medical Care Deutschland GmbH, 61352, Bad Homburg vor der Höhe, Hessen, Germany.
Sophie BoegerFresenius Medical Care Deutschland GmbH, 61352, Bad Homburg vor der Höhe, Hessen, Germany.
Dana KendziaFresenius Medical Care Deutschland GmbH, 61352, Bad Homburg vor der Höhe, Hessen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThere is an increasing demand for information on the environmental impact of medical devices from decision-makers in healthcare. Performing 'comprehensive' life cycle assessments (LCA) can be time and resource intensive to undertake. We present a screening LCA approach (scLCA) to streamline the LCA process for device manufacturers, intended to provide comparable results to more comprehensive assessments.

methodsThe scLCA is similar to the 'comprehensive' LCA in scope (cradle to grave) and methodology. In the scLCA two key changes are made to the LCA methodology: the use of standardized models for transport and product end-of-life. Furthermore, result interpretation is via a hotspot analysis and the validation process does not include an external review. The application of scLCAs is presented here with examples from three dialysis machines, where the functional unit is the production and operation of one dialysis machine over its lifetime.

resultsAll three dialysis machines showed similar hotspots, with the main drivers of environmental impact being water and electricity consumption during use. Using the scLCA is an efficient approach to perform environmental assessments on multiple products. The results of the scLCA provide an informative hotspot analysis that can be used to target improved sustainability of the device's manufacturing and distribution process.

conclusionThe scLCA makes performing environmental assessments more feasible for manufacturers while generating results comparable to 'comprehensive' LCAs.

Indexed as

EnvironmentRenal DialysisElectricityHumansMethodsOptimizeRenalsLCASustainability

Identifiers

PMID41563708
PMCPMC12999676

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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.