Evidence map›Paper›PMID 33997698›Full record

ArticleiScience2021

Mass burial genomics reveals outbreak of enteric paratyphoid fever in the Late Medieval trade city Lübeck.

Magdalena Haller, Kimberly Callan, Julian Susat, Anna Lena Flux, Alexander Immel, Andre Franke, Alexander Herbig, Johannes Krause, Anne Kupczok, Gerhard Fouquet and 4 more

Abstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
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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

14 authors.

Magdalena HallerInstitute of Clinical Molecular Biology, Kiel University, 24105 Kiel, Germany.
Kimberly CallanInstitute of Clinical Molecular Biology, Kiel University, 24105 Kiel, Germany.
Julian SusatInstitute of Clinical Molecular Biology, Kiel University, 24105 Kiel, Germany.
Anna Lena FluxDepartment of Historical Anthropology and Human Ecology, University of Göttingen, 37073 Göttingen, Germany.
Alexander ImmelInstitute of Clinical Molecular Biology, Kiel University, 24105 Kiel, Germany.
Andre FrankeInstitute of Clinical Molecular Biology, Kiel University, 24105 Kiel, Germany.
Alexander HerbigMax Planck Institute for the Science of Human History, 07743 Jena, Germany.
Johannes KrauseMax Planck Institute for the Science of Human History, 07743 Jena, Germany.
Anne KupczokGenomic Microbiology Group, Institute of General Microbiology, Kiel University, 24118 Kiel, Germany.
Gerhard FouquetHistorical Seminar, Faculty of Arts and Humanities, Kiel University, 24118 Kiel, Germany.
Susanne HummelDepartment of Historical Anthropology and Human Ecology, University of Göttingen, 37073 Göttingen, Germany.
Dirk RiegerDepartment of Archaeology, Hanseatic City of Lübeck Historical Monuments Protection Authority, 23539 Lübeck, Germany.
Almut NebelInstitute of Clinical Molecular Biology, Kiel University, 24105 Kiel, Germany.
Ben Krause-KyoraInstitute of Clinical Molecular Biology, Kiel University, 24105 Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medieval Europe was repeatedly affected by outbreaks of infectious diseases, some of which reached epidemic proportions. A Late Medieval mass burial next to the Heiligen-Geist-Hospital in Lübeck (present-day Germany) contained the skeletal remains of more than 800 individuals who had presumably died from infectious disease. From 92 individuals, we screened the ancient DNA extracts for the presence of pathogens to determine the cause of death. Metagenomic analysis revealed evidence of

Indexed as

MicrobiologyPaleontology

Identifiers

PMID33997698
PMCPMC8100618

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.