Evidence map›Paper›PMID 37592933›Full record

ArticleSurgery open science2023

Neoadjuvant chemotherapy response, disease-free survival, and overall survival of breast cancer in a single institution.

Prihantono, Muhammad Faruk

Abstract read
In one paragraph

Article in Surgery open science, 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. Observational
  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

2 authors.

PrihantonoDepartment of Surgery, Faculty of Medicine, Universitas Hasanuddin, Makassar, Indonesia.
Muhammad FarukDepartment of Surgery, Faculty of Medicine, Universitas Hasanuddin, Makassar, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer is the most common malignancy among women worldwide. Previous studies have shown factors influencing breast cancer patients' survival, including histopathological grading, stage, histopathological type, hormone receptors, and the number of mitotic images. This study aimed to determine the survival rate in breast cancer patients based on neoadjuvant chemotherapy (NAC) response and regimen. Methods: This was an observational analytic study with a retrospective design. The population was breast cancer patients at our institution who had undergone NAC. Kaplan-Meier analysis using the log-rank method was used to determine the level of survivability (overall survival [OS] and disease-free survival [DFS]) of patients based on chemotherapy response and regimen. Results: The NAC overall response rate of breast cancer patients was 93.17 %, whereas the non-response rate was 6.83 %. Significant differences existed in the DFS of patients by chemotherapy response (p = 0.010). Patients with a complete response had a mean survival of 71.37 ± 2.92 months, those with progressive disease had a mean survival of 64.80 ± 15.58 months, and overall patients had a mean survival of 68.56 ± 10.452 months. Patients with a complete response had a mean recurrence time of 69.54 ± 7.48 months; this was 57.53 ± 19.06 months in those with progressive disease, for an overall time of 65.41 ± 13.81 months. No significant difference existed between the NAC regimens in OS and DFS (p = 0.901 and p = 0.798, respectively). Conclusion: Generally, the response to NAC in breast cancer was very good. The DFS rates were significantly different from the chemotherapy response but not from the NAC regimen.

Indexed as

Breast cancerChemotherapy regimenChemotherapy responseDisease-free survivalOverall survival

Identifiers

PMID37592933
PMCPMC10428064

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.