Evidence map›Paper›PMID 40418393›Full record

ArticleCell and tissue banking2025

Bioburden of postmortem bone tissues with a procurement time exceeding 36 h.

Christian Braun, Matthias Löwel, Miriam Heuer, Axel Pruß, Tino Schulz

Abstract read
In one paragraph

Article in Cell and tissue banking, 2025. 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

5 authors.

Christian BraunInstitute of Legal Medicine Munich (LMU), Nussbaumstrasse 26, 80336, Munich, Germany. christian.braun@med.uni-muenchen.de.ORCID http://orcid.org/0000-0002-1861-5738
Matthias LöwelDIZG Deutsches Institut für Zell- Und Gewebeersatz gGmbH, Köpernicker Str. 325, 12555, Berlin, Germany.
Miriam HeuerDIZG Deutsches Institut für Zell- Und Gewebeersatz gGmbH, Köpernicker Str. 325, 12555, Berlin, Germany.
Axel PrußInstitute of Transfusion Medicine (Charité Berlin), Luisenstraße 7, 10117, Berlin, Germany.
Tino SchulzInstitute of Transfusion Medicine (Charité Berlin), Luisenstraße 7, 10117, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To qualify for bone donation many criteria must be met. For procurement, two time intervals-a postmortem interval (PMI) of 6 h (hours) until cooling of the deceased and a maximum procurement time of tissues within 24/36 h postmortem are mandatory. Expanding the procurement to donors with a longer PMI would be helpful e.g. to have more time to contact relatives for consent for donation. A loss of biomechanical quality of bone tissues should not be expected in the PMI until procurement, but the question of microbiological contamination remains. Therefore, samples from the iliac crest were procured under standard procurement conditions between 48 and 54 h (n = 14, group 1) and 72-78 h (n = 7, group 2) postmortem (pm). Samples were immediately frozen after procurement at < - 18 °C and sent to the German Institute for Tissue and Cell Replacement (DIZG) for mechanical preparation. Additionally, chloroform treatment was performed at the tissue bank of the Charité Berlin. After each step the samples were refrozen and sent to a contracted microbiological lab for bioburden testing according to the European Pharmacopoeia. Samples were tested after procurement, preparation, and chloroform treatment respectively. As acceptance criterion a maximum amount of 9 × 10

Indexed as

Bone and BonesTissue and Organ ProcurementHumansTime FactorsTissue BanksTissue DonorsBioburdenPostmortem intervalSterilizationTissue donation

Identifiers

PMID40418393
PMCPMC12106474

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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.