Evidence mapPaperPMID 34824616Full record

ArticleEcancermedicalscience2021

Baseline cardiovascular comorbidities, and the influence on cancer treatment decision-making in women with breast cancer.

Shridevi Subramaniam, Yek-Ching Kong, Hafizah Zaharah, Cuno S P M Uiterwaal, Andrea Richard, Nur Aishah Taib, Azura Deniel, Kok-Han Chee, Ros Suzanna Bustamam, Mee-Hoong See and 3 more

Abstract read
In one paragraph

Article in Ecancermedicalscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. NLRP3-mediated inflammation in cardio-oncology: sterile yet harmful.Translational research : the journal of laboratory and clinical medicine · 2023
    Review
  6. Article
  7. 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

13 authors.

Shridevi SubramaniamDepartment of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya, 50603 Lembah Pantai, Kuala Lumpur, Malaysia.
Yek-Ching KongDepartment of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya, 50603 Lembah Pantai, Kuala Lumpur, Malaysia.
Hafizah ZaharahDepartment of Radiotherapy & Oncology, National Cancer Institute, 62250 Putrajaya, Malaysia.
Cuno S P M UiterwaalJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands.
Andrea RichardCentre of Clinical Epidemiology, Institute for Clinical Research, National Institutes of Health, Setia Alam, 40170 Shah Alam, Malaysia.
Nur Aishah TaibDepartment of Surgery, Faculty of Medicine, Universiti Malaya, 50603 Lembah Pantai, Kuala Lumpur, Malaysia.
Azura DenielDepartment of Radiotherapy and Oncology, Hospital Kuala Lumpur, 50586 Kuala Lumpur, Malaysia.
Kok-Han CheeCardiology Unit, Department of Medicine, Faculty of Medicine, Universiti Malaya, 50603 Lembah Pantai, Kuala Lumpur, Malaysia.
Ros Suzanna BustamamDepartment of Radiotherapy and Oncology, Hospital Kuala Lumpur, 50586 Kuala Lumpur, Malaysia.
Mee-Hoong SeeDepartment of Surgery, Faculty of Medicine, Universiti Malaya, 50603 Lembah Pantai, Kuala Lumpur, Malaysia.
Alan FongSarawak Heart Centre, 94300 Kota Samarahan, Sarawak, Malaysia.
Cheng-Har YipSubang Jaya Medical Centre, 47500 Subang Jaya, Selangor, Malaysia.
Nirmala Bhoo-PathyDepartment of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya, 50603 Lembah Pantai, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo measure the baseline prevalence of cardiovascular disease (CVD), its modifiable and non-modifiable risk factors in breast cancer patients, and determine their association with adjuvant treatment decision-making.

methodFrom 2016 to 2017, 2,127 women newly-diagnosed with breast cancer were prospectively recruited. Participants' cardiovascular biomarkers were measured prior to adjuvant treatment decision-making. Clinical data and medical histories were obtained from hospital records. Adjuvant treatment decisions were collated 6-8 months after recruitment. A priori risk of cardiotoxicity was predicted using the Cardiotoxicity Risk Score.

resultsMean age was 54 years. Eighty-five patients had pre-existing cardiac diseases and 30 had prior stroke. Baseline prevalence of hypertension was 47.8%. Close to 20% had diabetes mellitus, or were obese. Dyslipidaemia was present in 65.3%. The proportion of women presenting with ≥2 modifiable CVD risk factors at initial cancer diagnosis was substantial, irrespective of age. Significant ethnic variations were observed. Multivariable analyses showed that pre-existing CVD was consistently associated with lower administration of adjuvant breast cancer therapies (odds ratio for chemotherapy: 0.32, 95% confidence interval: 0.17-0.58). However, presence of multiple risk factors of CVD did not appear to influence adjuvant treatment decision-making. In this study, 63.6% of patients were predicted to have high risks of developing cardiotoxicities attributed to a high baseline burden of CVD risk factors and anthracycline administration.

conclusionWhile recent guidelines recommend routine assessment of cardiovascular comorbidities in cancer patients prior to initiation of anticancer therapies, this study highlights the prevailing gap in knowledge on how such data may be used to optimise cancer treatment decision-making.

Indexed as

breast cancercardiotoxicitycardiovascular risk factors

Identifiers

PMID34824616
PMCPMC8580595

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.