Evidence map›Paper›PMID 38019238›Full record

Observational studyAsian Pacific journal of cancer prevention : APJCP2023

Prospective Study of Incidence and Impact of Comorbidities on Breast Cancer Survival from India.

Tabassum Wadasadawala, Debanjali Datta, Namita Puchali, Pallavi Rane, Soumendu Sen, Sanjay Mohanty, Sudeep Gupta, Rajiv Sarin, Vani Parmar

Abstract readObservational Study
In one paragraph

Observational study in Asian Pacific journal of cancer prevention : APJCP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Tabassum WadasadawalaDepartment of Radiation Oncology, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India.
Debanjali DattaDepartment of Radiation Oncology, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India.
Namita PuchaliDepartment of Clinical Research and Statistics, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.
Pallavi RaneDepartment of Clinical Research and Statistics, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.
Soumendu SenDepartment of Fertility Studies, International Institute for Population Sciences, Mumbai, India.ORCID 0000-0002-3114-3712
Sanjay MohantyDepartment of Fertility Studies, International Institute for Population Sciences, Mumbai, India.ORCID 0000-0001-9041-5952
Sudeep GuptaDepartment of Medical Oncology,Tata Memorial Center, Homi Bhabha National Institute, Mumbai, India.
Rajiv SarinDepartment of Radiation Oncology, Tata Memorial Center, Homi Bhabha National Institute, Mumbai, Maharashtra, India.ORCID 0000000264058282
Vani ParmarDepartment of Surgical Oncology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo report comorbidity burden in newly-diagnosed treatment-naïve breast cancer patients and its effect on survival.

methodsProspective observational study in which demographic, comorbidity and outcome data from a consecutive cohort of patients diagnosed and treated between September 2019 to September 2021 were collected. Charlson Comorbidity Index (CCI) score was calculated for all and proportion of each comorbidity was determined at diagnosis (baseline), at conclusion and six-months post-treatment. Univariate and multivariate analysis was done for impact of various demographic and disease-related factors on the incidence of comorbidities as well as on progression free survival (PFS) and overall survival (OS).

resultsOut of five hundred patients who consented for the study, 416 patients completed planned treatment and only 206 patients had physical follow-up due to COVID-19 pandemic. Incidence of comorbidity at the three time-points was 24%, 32% and 26% respectively. The difference was significant compared to baseline at both the time-points (p<0.05). Hypertension and diabetes were the most common types (incidence 15%-21% and 12-18% respectively) of comorbidities. Advancing age, post-menopauusal status and not being married were significant factors for presence of comorbidities. Median follow-up was 27 months (95% CI 26.25-28.55 months). Presence of multiple comorbidities was a poor prognostic factor for both PFS (2-yr PFS 85% vs 77%) and OS (2-yr OS 89% vs 79%) (both p=0.04) but no such correlation for CCI score.

conclusionBreast cancer treatment impacted incidence of comorbidities. Presence of multiple comorbidities had an adverse impact on survival. Hence, further research on treatment optimization is required in patients with substantial comorbidities.

Indexed as

Breast NeoplasmsComorbidityFemaleHumansIncidenceIndiaPandemicsProspective Studiesbreast cancerCharlson Comorbidity IndexIncidence of comorbiditiessurvival

Identifiers

PMID38019238
PMCPMC10772749

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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.