Evidence map›Paper›PMID 37113731›Full record

ArticleEcancermedicalscience2023

Association between pre-existing cardiometabolic comorbidities and the pathological profiles of breast cancer at initial diagnosis: a cross sectional study.

Shridevi Subramaniam, Yek-Ching Kong, Cheng-Har Yip, Muthukkumaran Thiagarajan, Jayalakshmi Pailoor, Hafizah Zaharah, Nur Aishah Taib, Mee-Hoong See, Diana Sarfati, Nirmala Bhoo-Pathy

Abstract read
In one paragraph

Article in Ecancermedicalscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

10 authors.

Shridevi SubramaniamCentre for Clinical Epidemiology, Institute for Clinical Research, National Institutes of Health, Ministry of Health, Shah Alam 40170, Malaysia.
Yek-Ching KongCentre for Epidemiology and Evidence-Based Medicine, Department of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia.
Cheng-Har YipSubang Jaya Medical Centre, Subang Jaya 47500, Malaysia.
Muthukkumaran ThiagarajanDepartment of Radiotherapy and Oncology, Kuala Lumpur Hospital, Ministry of Health, Kuala Lumpur 50586, Malaysia.
Jayalakshmi PailoorSubang Jaya Medical Centre, Subang Jaya 47500, Malaysia.
Hafizah ZaharahDepartment of Radiotherapy and Oncology, National Cancer Institute, Ministry of Health, Putrajaya 62250, Malaysia.
Nur Aishah TaibDepartment of Surgery, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia.
Mee-Hoong SeeDepartment of Surgery, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia.
Diana SarfatiNational Director of Cancer Control, and Chief Executive Cancer Control Agency, PO Box 5013, Wellington 6140, New Zealand.
Nirmala Bhoo-PathyCentre for Epidemiology and Evidence-Based Medicine, Department of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presence of comorbidities has been associated with later stages of breast cancer diagnosis. It is unclear whether biological mechanisms are partly responsible. We examined the association between the presence of pre-existing comorbidities and tumour profile at initial diagnosis with breast cancer. Data for the present analysis were derived from a prior inception cohort study comprising 2,501 multiethnic women, newly diagnosed with breast cancer between 2015 and 2017 in four hospitals across Klang Valley. At the inception of the cohort, medical and drug histories, height, weight and blood pressure were recorded. Blood samples were taken to measure serum lipid and glucose. Modified Charlson Comorbidity Index (CCI) was calculated using data extracted from medical records. The association of CCI as well as specific comorbidities, with pathological breast cancer profile was analysed. Higher comorbidity burden, namely cardiometabolic conditions were associated with unfavourable pathological features including larger tumours, involvement of >9 axillary lymph nodes, distant metastasis and human epidermal growth factor receptor 2 overexpression. These associations remained largely significant following multivariable analyses. Specifically, diabetes mellitus was independently associated with high nodal metastasis burden. Low level of high-density lipoprotein was associated with larger tumours (>5 cm), and distant metastasis. Evidence from this study seems to support the hypothesis that the later stages of breast cancer diagnosis in women with (cardiometabolic) comorbidities may be partially explained by underlying pathophysiological events.

Indexed as

cancercardiometaboliccardiovascular diseasecomorbiditypathology

Identifiers

PMID37113731
PMCPMC10129381

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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.