Evidence map›Paper›PMID 27355351›Full record

ArticlePloS one2016

CT Scan of Thirteen Natural Mummies Dating Back to the XVI-XVIII Centuries: An Emerging Tool to Investigate Living Conditions and Diseases in History.

Enrico Petrella, Sara Piciucchi, Francesco Feletti, Domenico Barone, Antonella Piraccini, Caterina Minghetti, Giorgio Gruppioni, Venerino Poletti, Mauro Bertocco, Mirko Traversari

Open access · goldAbstract readHistorical Article
In one paragraph

Article in PloS one, 2016. 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
32.5field-weighted citation impact, top 1% of its field
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, 31 citations in OpenAlex.

  1. Article
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  4. Giant cell tumor of bone in an eighteenth-century Italian mummy.Virchows Archiv : an international journal of pathology · 2021
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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

10 authors at 5 institutions in 3 countries.

Enrico PetrellaDepartment of Radiology, Azienda USL Romagna, Ospedale G.B. Morgagni, Forlì, FC, Italy.
Sara PiciucchiDepartment of Radiology, Azienda USL Romagna, Ospedale G.B. Morgagni, Forlì, FC, Italy.
Francesco FelettiDepartment of Radiology; Santa Maria delle Croci Hospital, Ravenna, RA, Italy.
Domenico BaroneRadiology Unit; IRCCS Istituto Scientifico Romagnolo Per lo Studio e Cura dei Tumori (IRST), Meldola, FC, Italy.
Antonella PiracciniDepartment of Radiology; Santa Maria delle Croci Hospital, Ravenna, RA, Italy.
Caterina MinghettiDepartment of History and Methods for Conservation of Cultural Heritage of University of Bologna, BO, Italy.
Giorgio GruppioniDepartment of History and Methods for Conservation of Cultural Heritage of University of Bologna, BO, Italy.
Venerino PolettiDepartment of Diseases of the Thorax; Azienda USL Romagna, Ospedale GB Morgagni, Forlì, FC, Italy.
Mauro BertoccoDepartment of Radiology, Azienda USL Romagna, Ospedale G.B. Morgagni, Forlì, FC, Italy.
Mirko TraversariDepartment of History and Methods for Conservation of Cultural Heritage of University of Bologna, BO, Italy.
Azienda Unità Sanitaria Locale Della Romagna · ITInstitute for Technologies Applied to Cultural Heritage · ITOspedale "Santa Maria delle Croci" di Ravenna · ITAarhus University Hospital · DKIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo correlate the radiologic findings detected with computed tomography scan with anthropological data in 13 naturally mummified bodies discovered during works of recovery of an ancient church in a crypt in Roccapelago, in the Italian Apennines.

methodsFrom a group of about sixty not-intentionally mummified bodies, thirteen were selected to be investigated with volumetric computed tomography (CT). Once CT scan was performed, axial images were processed to gather MPR and Volume Rendering reconstructions. Elaborations of these images provided anthropometric measurements and a non-invasive analysis of the residual anatomical structures. For each body the grade of preservation and the eventual pathological changes were recorded. Furthermore, in order to identify nutritional and occupational markers, radiologic signs of bone tropism and degenerative changes were analysed and graded.

resultsMummies included seven females and six males, with an estimated age ranging from 20 to 60 years. The first relevant finding identified was a general low grade of preservation, due to the lack of anatomic tissues different from bones, tendons and dehydrated skin. The low grade of preservation was related to the natural process of mummification. Analysing bone degenerative changes on CT scan, the majority of the bodies had significant occupational markers consisting of arthritis in the spine, lower limbs and shoulders even in young age. Few were the pathological findings identified. Among these, the most relevant included a severe bilateral congenital hip dysplasia and a wide osteolytic lesion involving left orbit and petrous bone that was likely the cause of death.

conclusionsAlthough the low grade of preservation of these mummies, the multidisciplinary approach of anthropologists and radiologists allowed several important advances in knowledge for the epidemiology of Roccapelago. First of all, a profile of living conditions was delineated. It included occupational and nutritional conditions. Moreover, identification of some causes of death and, most importantly the definition of general living conditions.

Indexed as

Social ConditionsTomography, X-Ray ComputedAdultAnthropologyBone and BonesDiseaseFemaleHistory, 16th CenturyHistory, 17th CenturyHumansItalyMaleMiddle AgedMummiesYoung Adult

Identifiers

PMID27355351
PMCPMC4927149
OpenAlexW2464647843

What OpenQuestion holds

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LicenceCC BY
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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.