In one paragraphArticle in Infection and immunity, 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
9 authors.
Navin JeyabalanSingapore Center for Environmental Life Sciences Engineering and School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-2661-1905 Frederick Reinhart TanotoSingapore Center for Environmental Life Sciences Engineering and School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0001-9289-4811 Haris AntypasSingapore Center for Environmental Life Sciences Engineering and School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0003-3643-7899 Cheryl Jia Yi NeoSingapore Center for Environmental Life Sciences Engineering and School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.
Rachel Jing Wen TanSingapore Center for Environmental Life Sciences Engineering and School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.
Kevin PetheSingapore Center for Environmental Life Sciences Engineering and School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0003-0916-8873 David L BeckerLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-9300-0899 Claudia J StocksSingapore Center for Environmental Life Sciences Engineering and School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0001-6120-2851 Kimberly A KlineSingapore Center for Environmental Life Sciences Engineering and School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-5472-3074 Funding
Ministry of Education-Singapore MOE2019-T2-2-089National Research Foundation Singapore SCELSEWellcome Trust 212262
6 · The paper itselfAbstract
Chronic wound infections are a common comorbidity of diabetes mellitus and can progress to amputation if untreated, yet effective strategies to manage these infections are limited. Commensals such as
Indexed as
Diabetes ComplicationsDiabetes Mellitus, ExperimentalEnterococcus faeciumGram-Positive Bacterial InfectionsWound InfectionAnimalsCytokinesDisease Models, AnimalMaleMiceMice, Inbred C57BLNeutrophilsStaphylococcus epidermidisCytokinesbiofilm infectiondiabetesEnterococcus faeciumimmune responsemouse modelpolymicrobial infectionStaphylococcus epidermidisStaphylococcus lentus
Identifiers
PMID42060703
PMCPMC13248726
What OpenQuestion holds
Textmetadata
LicenceCC BY
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