Evidence map›Paper›PMID 42503075›Full record

ArticleEcoHealth2026

Comment on "Sustainable Laboratory Practice for a Healthier Ecosystem".

Ilker Sengul, Demet Sengul

Abstract readLetter
PubMed Publisher
In one paragraph

Article in EcoHealth, 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.

Ilker SengulThyroidology Unit, Faculty of Medicine, Giresun University, TR28100, Giresun, Turkey. ilker.sengul.52@gmail.com.ORCID http://orcid.org/0000-0001-5217-0755
Demet SengulDepartment of Pathology, Faculty of Medicine, Giresun University, TR28100, Giresun, Turkey.ORCID http://orcid.org/0000-0002-0416-0621

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent discourse by Andaria and Mole regarding the ecological imperatives of medical laboratory practices marks a significant intellectual contribution to the burgeoning field of planetary health. While the authors cogently argue for the integration of sustainability within diagnostic frameworks, there remains an urgent need to transition from qualitative advocacy to a more rigorous, quantitative paradigm of environmental accountability. This critique posits that the current reliance on voluntary "eco-conscious" shifts is insufficient against the backdrop of escalating global diagnostic demands. Specifically, the tension between the stringent requirements of clinical precision-governed by frameworks such as ISO 15189-and the mandates of ecological preservation requires a more nuanced exploration of "regulatory synergy". Of note, while the authors correctly identify the disparate impact on lower- and middle-income countries (LMICs), the discussion must move beyond infrastructural deficits to address the systemic "exportation of ecological debt" through the global medical supply chain. Furthermore, by implementing standardized Lifecycle Assessments (LCAs) and integrating sustainability metrics into the very core of healthcare accreditation, the laboratory sector can evolve from a passive participant in the Sustainable Development Goals (SDGs) to a proactive vanguard of the "One Health" initiative. This letter advocates for a mandatory "Green Diagnostic Charter" that transcends institutional goodwill to ensure that the pursuit of human health no longer occurs at the deleterious expense of our shared biosphere.

Indexed as

EcoHealthecologylaboratorymedical laboratory systemspathologysustainable laboratory practice

Identifiers

What OpenQuestion holds

Textmetadata
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.