Evidence map›Paper›PMID 42682564›Full record

ArticleFrontiers in cellular and infection microbiology2026

16S rRNA sequencing and conventional culture provide complementary information in hospitalized patients with chronic lower-limb wounds.

Bartosz Molasy, Jarosław Rachuna, Monika Wawszczak-Kasza, Julia Dulębska, Katarzyna Kuszewska, Wioletta Adamus-Białek

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

6 authors.

Bartosz MolasyInstitute of Medical Sciences, Jan Kochanowski University, Kielce, Poland.
Jarosław RachunaInstitute of Medical Sciences, Jan Kochanowski University, Kielce, Poland.
Monika Wawszczak-KaszaInstitute of Medical Sciences, Jan Kochanowski University, Kielce, Poland.
Julia DulębskaInstitute of Medical Sciences, Jan Kochanowski University, Kielce, Poland.
Katarzyna KuszewskaDiagnostic Laboratory, St. Alexander Hospital, Kielce, Poland.
Wioletta Adamus-BiałekInstitute of Medical Sciences, Jan Kochanowski University, Kielce, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic lower-limb wounds are polymicrobial and difficult to characterize using conventional culture alone. We compared baseline wound microbiota assessed by 16S rRNA sequencing and conventional culture in 62 hospitalized adults with chronic lower-limb wounds and examined associations with subsequent length of stay. Sequencing detected a mean of 11.62 taxa per sample versus 2.24 by culture, with an overall concordance of 51.35%. In sequencing-based analyses, alpha diversity was not associated with length of stay, whereas beta diversity differed significantly according to hospitalization duration (PERMANOVA, R² = 0.030, p = 0.005), and six genera were associated with length of stay. Conventional culture showed no significant association with length of stay. No significant associations were found between sequencing-derived baseline microbiota and wound thermal parameters or 12-week healing. These findings indicate that 16S rRNA sequencing and conventional culture provide distinct yet complementary views of chronic wound microbiology.

Indexed as

BacteriaRNA, Ribosomal, 16SWound InfectionWounds and InjuriesAdultAgedAged, 80 and overDNA, BacterialDNA, RibosomalFemaleHospitalizationHumansLength of StayMaleMicrobiotaMiddle AgedDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S16S rRNA sequencingchronic woundsconventional culturelength of staywound healingwound microbiome

Identifiers

PMID42682564
PMCPMC13529466

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.