Evidence map›Paper›PMID 27003820›Full record

ArticleInternal and emergency medicine2016

Impact of comorbidity on outcome in kidney transplant recipients: a retrospective study in Italy.

Fabio Fabbian, Alfredo De Giorgi, Fabio Manfredini, Nicola Lamberti, Silvia Forcellini, Alda Storari, Paola Todeschini, Massimo Gallerani, Gaetano La Manna, Dimitri P Mikhailidis and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Internal and emergency medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Exploration of symptom experience in kidney transplant recipients based on symptoms experience model.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
    Article
  4. Article
  5. Article
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

11 authors.

Fabio FabbianClinica Medica Unit, Department of Medical Sciences, School of Medicine, University of Ferrara, Via L. Ariosto 25, 44121, Ferrara, Italy. f.fabbian@ospfe.it.
Alfredo De GiorgiClinica Medica Unit, Department of Medical Sciences, School of Medicine, University of Ferrara, Via L. Ariosto 25, 44121, Ferrara, Italy.
Fabio ManfrediniDepartment of Biomedical Sciences and Surgical Specialties, School of Medicine, University of Ferrara, Ferrara, Italy.
Nicola LambertiDepartment of Biomedical Sciences and Surgical Specialties, School of Medicine, University of Ferrara, Ferrara, Italy.
Silvia ForcelliniNephrology Unit, Department of Specialistic Medicine, University Hospital of Ferrara, Ferrara, Italy.
Alda StorariNephrology Unit, Department of Specialistic Medicine, University Hospital of Ferrara, Ferrara, Italy.
Paola TodeschiniDepartment of Specialistic, Diagnostic and Experimental Medicine, School of Medicine, University of Bologna, Bologna, Italy.
Massimo GalleraniDepartment of Internal Medicine, University Hospital of Ferrara, Ferrara, Italy.
Gaetano La MannaDepartment of Specialistic, Diagnostic and Experimental Medicine, School of Medicine, University of Bologna, Bologna, Italy.
Dimitri P MikhailidisDepartment of Clinical Biochemistry (Vascular Disease Prevention Clinic), University College London (UCL) Medical School, London, UK.
Roberto ManfrediniClinica Medica Unit, Department of Medical Sciences, School of Medicine, University of Ferrara, Via L. Ariosto 25, 44121, Ferrara, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to relate in-hospital mortality (IHM), cardiovascular events (CVEs) and non-immunologic comorbidity evaluated on the basis of International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codification, in Italian kidney transplant recipients (KTRs). We evaluated IHM and admissions due to CVEs between 2000 and 2013 recorded in the database of the region Emilia Romagna. The Elixhauser score was calculated for evaluation of non-immunologic comorbidity. Three main outcomes (i.e. IHM, admission due to major CVEs and combined outcome) were the dependent variables of the multivariate models, while age, gender and Elixhauser score were the independent ones. During the examined period, a total of 9063 admissions in 3648 KTRs were recorded; 1945 patients were males (53.3 %) and 1703 females (46.7 %) and the mean age was 52.9 ± 13.1 years. The non-immunological impaired status of the KTRs, examined by the Elixhauser score, was 3.88 ± 4.29. During the 14-year follow-up period, IHM for any cause was 3.2 % (n = 117), and admissions due to CVEs were 527 (5.8 %). Age and comorbidity were independently associated with CVEs, IHM and the combined outcome. Male gender was independently associated with IHM and combined outcome, but not with CVEs. Evaluation of non-immunological comorbidity is important in KTRs and identification of high-risk patients for major clinical events could improve outcome. Moreover, comorbidity could be even more important in chronic kidney disease patients who are waiting for a kidney transplant.

Indexed as

ComorbidityTreatment OutcomeAdultAgedCardiovascular DiseasesFemaleHospital MortalityHumansItalyKidney TransplantationMaleMiddle AgedRetrospective StudiesCardiovascular eventsComorbidityElixhauser scoreICD-9-CMIn-hospital mortalityRenal transplantation

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.