Evidence map›Paper›PMID 28852931›Full record

ArticleJournal of thrombosis and thrombolysis2017

Comorbidity assessment as predictor of short and long-term mortality in elderly patients with hemodynamically stable acute pulmonary embolism.

Hernan Polo Friz, Valeria Corno, Annalisa Orenti, Chiara Buzzini, Chiara Crivellari, Francesco Petri, Melisa Polo Friz, Veronica Punzi, Daniela Teruzzi, Luca Cavalieri d'Oro and 4 more

Abstract read
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In one paragraph

Article in Journal of thrombosis and thrombolysis, 2017. 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. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Effect of Comorbidity on Outcomes of Patients with Advanced Non-Small Cell Lung Cancer Undergoing Anti-PD1 Immunotherapy.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  7. Article
  8. Observational
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.

Hernan Polo FrizInternal Medicine, Department of Medicine, Vimercate Hospital, Azienda Ospedaliera di Desio e Vimercate, via Santi Cosma e Damiano 10, 20871, Vimercate, Italy. hernanemilio.polofriz@asst-vimercate.it.
Valeria CornoInternal Medicine, Department of Medicine, Vimercate Hospital, Azienda Ospedaliera di Desio e Vimercate, via Santi Cosma e Damiano 10, 20871, Vimercate, Italy.
Annalisa OrentiLaboratory of Medical Statistics, Epidemiology and Biometry G. A. Maccacaro, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
Chiara BuzziniInternal Medicine, Department of Medicine, Vimercate Hospital, Azienda Ospedaliera di Desio e Vimercate, via Santi Cosma e Damiano 10, 20871, Vimercate, Italy.
Chiara CrivellariInternal Medicine, Department of Medicine, Vimercate Hospital, Azienda Ospedaliera di Desio e Vimercate, via Santi Cosma e Damiano 10, 20871, Vimercate, Italy.
Francesco PetriInternal Medicine, Department of Medicine, Vimercate Hospital, Azienda Ospedaliera di Desio e Vimercate, via Santi Cosma e Damiano 10, 20871, Vimercate, Italy.
Melisa Polo FrizInternal Medicine, Department of Medicine, Vimercate Hospital, Azienda Ospedaliera di Desio e Vimercate, via Santi Cosma e Damiano 10, 20871, Vimercate, Italy.
Veronica PunziInternal Medicine, Department of Medicine, Vimercate Hospital, Azienda Ospedaliera di Desio e Vimercate, via Santi Cosma e Damiano 10, 20871, Vimercate, Italy.
Daniela TeruzziInternal Medicine, Department of Medicine, Vimercate Hospital, Azienda Ospedaliera di Desio e Vimercate, via Santi Cosma e Damiano 10, 20871, Vimercate, Italy.
Luca Cavalieri d'OroEpidemiology Unit - Local Health Authority of Monza and Brianza province, Monza, Italy.
Cristina GiannattasioSchool of Medicine Department, Milano-Bicocca University, Milan, Italy.
Giuseppe VighiInternal Medicine, Department of Medicine, Vimercate Hospital, Azienda Ospedaliera di Desio e Vimercate, via Santi Cosma e Damiano 10, 20871, Vimercate, Italy.
Claudio CimminielloResearch and Study Center of the Italian Society of Angiology and Vascular Pathology (Società Italiana di Angiologia e Patologia Vascolare, SIAPAV), Milan, Italy.
Patrizia BoracchiLaboratory of Medical Statistics, Epidemiology and Biometry G. A. Maccacaro, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elderly patients presenting with acute pulmonary embolism (PE) frequently have significant underlying comorbidities which may condition the prognosis. The current study aimed to determine the ability of Charlson comorbidity index (CCI) score to predict short and long-term mortality in elderly patients with hemodynamically stable acute PE. All hemodynamically stable patients aged >65 years with acute PE, evaluated in the Emergency Department since 2010 through 2014, were included in this retrospective cohort study. CCI, simplified pulmonary embolism severity index (sPESI) scores and vital status were recorded. Were included 162 patients with confirmed PE, out of 657 suspected cases (24.7%). Median age: 79.2 years, 74.1% presented an sPESI > 1 and 61.1% a CCI > 1. The overall 30, 90-day and 2-year mortality was 11.7% (95%CI 6.6-16.6), 19.8% (95%CI 13.4-25.7) and 31.8% (95%CI 24.1-38.8). For 30-day mortality sPESI showed an AUC 0.642 (95%CI 0.511-0.772) and adding CCI as covariate did not increase its prognostic performance. For 90-day mortality, in an adjusted model including sPESI and CCI, CCI showed a HR 1.282 (95%CI 1.151-1.429, p-value < 0.001), and sPESI a HR = NS(p-value = 0.267). For 2-year mortality, in an adjusted model including sPESI and CCI, CCI showed a HR 1.295 (95%CI 1.180-1.421, p-value < 0.001) and sPESI a HR = NS(p-value = 0.353). In elderly patients with hemodynamically stable PE, the CCI score was found to be an independent predictor of mortality. CCI shows a significantly better ability to predict 90-day and 2-year mortality than sPESI. The assessment of comorbidity burden by using the CCI score may be proposed as an useful tool to predict mortality in these patients.

Indexed as

Severity of Illness IndexAgedAged, 80 and overComorbidityHumansMortalityPrognosisPulmonary EmbolismRetrospective StudiesRisk AssessmentAgedComorbidityMortalityPrognosisPulmonary embolism

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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.