Evidence map›Paper›PMID 31175492›Full record

ReviewHeart failure reviews2019

Trends in the prevalence of malignancy among patients admitted with acute heart failure and associated outcomes: a nationwide population-based study.

Pradhum Ram, Andrew Tiu, Kevin Bryan Lo, Kaushal Parikh, Mahek Shah

Abstract readComparative StudyReview
PubMed Publisher
In one paragraph

Review in Heart failure reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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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

5 authors at 3 institutions in 1 country.

Pradhum RamDepartment of Medicine, Einstein Medical Center, 5501 Old York Road, Philadelphia, PA, 19141, USA. rampradhum@gmail.com.ORCID http://orcid.org/0000-0003-3406-9260
Andrew TiuDepartment of Medicine, Einstein Medical Center, 5501 Old York Road, Philadelphia, PA, 19141, USA.
Kevin Bryan LoDepartment of Medicine, Einstein Medical Center, 5501 Old York Road, Philadelphia, PA, 19141, USA.
Kaushal ParikhDepartment of Medical Oncology, Mayo Clinic, Rochester, MN, USA.
Mahek ShahDepartment of Cardiology, Lehigh Valley Hospital Network, Allentown, PA, USA.
Einstein Medical Center Philadelphia · USLehigh Valley Hospital-Pocono · USMayo Clinic in Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is the second leading cause of death in the USA, and cardiovascular disease is the second leading cause of morbidity and mortality among cancer survivors. Cancer survivors share common risk factors for cardiovascular disease with non-cancer patients. With improved survival, cancer patients become susceptible to treatment-related toxicity often involving the heart. The impact of concurrent malignancy on outcomes particularly among heart failure patients is an area of active research. We studied the trends in the prevalence of a concurrent diagnosis of breast, prostate, colorectal, and lung cancer among admissions for acute heart failure and the associated trends for in-hospital mortality. Patients aged ≥ 18 years who were admitted with a primary diagnosis of "congestive heart failure" (CCS codes 99 and 108) from years 2003 to 2014 were included. We analyzed the rate of admission and in-hospital mortality among patients who had a concurrent diagnosis for either lung cancer, colorectal cancer, breast cancer (among females), or prostate cancer (among males). We performed a multivariate analysis to assess the role of a concurrent diagnosis of any cancer in predicting in-hospital mortality among HF admissions. From 2003 to 2014 across over 12 million HF admissions, ≈ 7% had a concurrent diagnosis of either lung, breast, colorectal, or prostate cancer. The prevalence was highest for breast cancer (2.3%) followed by prostate cancer (2.1%) and colorectal cancer (1.5%) and lowest with lung cancer (1.1%). The prevalence of cancer increased over the duration of study among all four cancer types with the largest increase in prevalence of breast cancer. Baseline comorbidities including hypertension, diabetes, smoking, chronic kidney disease, and coronary artery disease increased over time among patients with and without cancer. In-hospital mortality was higher among those with a diagnosis of lung cancer (5.9%) followed by colorectal cancer (4.0%), prostate cancer (3.5%), no diagnosis of cancer (3.3%), and breast cancer (3.2%). In-hospital mortality declined across HF admissions with and without a cancer diagnosis from 2003 to 2014. Decline in such mortality among heart failure was highest for patients with lung cancer (8.1 to 4.6% from 2003 to 2014; p < 0.001). Multivariate analysis showed that a concurrent diagnosis of cancer was associated with a marginally lower hospital mortality compared with controls (adjusted odds ratio 0.95, 95% confidence interval 0.94-0.96; p < 0.001). Among HF admissions, the prevalence of a concurrent cancer diagnosis increased over time for breast, lung, colorectal, and prostate cancer. Baseline in-hospital mortality was higher among HF admissions with either lung cancer, colorectal cancer, or prostate cancer and lower with breast cancer compared with controls without a cancer diagnosis. Adjusted analysis revealed no evidence for higher hospital mortality among HF admissions with any accompanying cancer diagnosis.

Indexed as

Acute DiseaseAgedAged, 80 and overBreast NeoplasmsCancer SurvivorsCardiotoxicityColorectal NeoplasmsComorbidityFemaleHeart FailureHospitalizationHospital MortalityHumansLung NeoplasmsMaleMiddle AgedCancerCardiooncologyCardiotoxicityHeart failureInpatient mortalityMalignancy

Identifiers

PMID31175492
OpenAlexW2955984133

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.