Evidence map›Paper›PMID 30117162›Full record

ArticleClinical cardiology2018

Short-term outcomes of pulmonary embolism: A National Perspective.

Purav Shah, Shilpkumar Arora, Varun Kumar, Surina Sharma, Harshil Shah, Byomesh Tripathi, Purnima Sharma, Ravina Sharma, Sejal Savani, Muhammad Raheel Qureshi and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Clinical cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Clinical Profile, Immediate- and Short-term Outcome of Patients with Intermediate-risk Acute Pulmonary Thromboembolism.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022
    Article
  4. Observational
  5. Article
  6. Observational
  7. Article
  8. Acute Pulmonary Embolism: Contemporary Approach to Diagnosis, Risk-Stratification, and Management.The International journal of angiology : official publication of the International College of Angiology, Inc · 2019
    Article
  9. Article
  10. Association Between Heart Rate at Diagnosis and Long-Term Recurrence Risk of Pulmonary Embolism in a Historical Cohort Study of Elder Women.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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.

Purav ShahDepartment of Pulmonary and Critical Care Medicine, University of Florida, Gainesville, Florida.ORCID http://orcid.org/0000-0002-3851-1047
Shilpkumar AroraGuthrie Robert Packer Hospital, Sayre, Pennsylvania.
Varun KumarDepartment of Internal Medicine, Mount Sinai St. Luke's - West hospital, New York, New York.ORCID http://orcid.org/0000-0002-5481-7601
Surina SharmaDepartment of Internal Medicine, Mount Sinai St. Luke's - West hospital, New York, New York.
Harshil ShahGuthrie Robert Packer Hospital, Sayre, Pennsylvania.
Byomesh TripathiGuthrie Robert Packer Hospital, Sayre, Pennsylvania.
Purnima SharmaDepartment of Internal Medicine, Mount Sinai St. Luke's - West hospital, New York, New York.
Ravina SharmaDepartment of Internal Medicine, Mount Sinai St. Luke's - West hospital, New York, New York.
Sejal SavaniDepartment of Internal Medicine, Mount Sinai St. Luke's - West hospital, New York, New York.
Muhammad Raheel QureshiMedstar Union Memorial Hospital, Baltimore, Maryland.
Ibrahim FaruqiDepartment of Pulmonary and Critical Care Medicine, University of Florida, Gainesville, Florida.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary embolism (PE) is associated with significant morbidity and mortality in hospitalized patients. Real time data on 90-day mortality, bleeding, and readmission is sparse.

methodsThe study cohort was derived from the National Readmission Data (NRD) 2013 to 2014. PE was identified using International Classification of Diseases, ninth Revision (ICD-9-CM) code 415.11/3/9 in the primary diagnosis field. Any admission within 90 days of primary admission was considered a 90-day readmission. Readmission etiologies were identified by ICD-9 code in the primary diagnosis field. Co-primary outcomes were 90-day readmission and 90-day mortality.

resultsWe identified 260 614 patients with primary admission PE, 55 659 (21.36%) patients were readmitted within 90 days. Most of them were of old age (age ≥ 65 years: 49.04%) and females (52.78%). Among the etiologies of readmission pulmonary disorders (22.94%) (Including recurrent PE 7.33%), malignancies (8.31%), and bleeding disorders (6.75%) were the most important causes of 90-day readmissions. On multivariate analysis, higher readmission rates and 90 days mortality were seen in patients with heart failure, chronic pulmonary disease, Anemia, malignancy, and with higher Charlson score. Patients with longer length of stay during primary admission and who discharged to short/long-term facility were more likely get readmitted and die in 90 days. Paradoxically, obese patients showed an inverse relationship with co-primary outcomes.

conclusionsOlder female patients were more likely to have a pulmonary embolism. High-risk groups such as heart failure, chronic pulmonary disease, anemia, and malignancy need to be given extra attention to prevent worse outcomes.

Indexed as

Population SurveillanceRisk AssessmentAdolescentAdultAgedAged, 80 and overFemaleFollow-Up StudiesHospitalizationHumansMaleMiddle AgedMorbidityPulmonary EmbolismRetrospective StudiesRisk Factorscomorbiditiesmortalityoutcomespulmonary embolismreadmission

Identifiers

PMID30117162
PMCPMC6490021

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.