Evidence map›Paper›PMID 34989142›Full record

ArticleCancer medicine2022

Utilization of neoadjuvant chemotherapy in high-risk, node-negative early breast cancer.

Ipshita Prakash, N Ben Neely, Samantha M Thomas, Sarah Sammons, Rachel C Blitzblau, Gayle A DiLalla, Terry Hyslop, Carolyn S Menendez, Jennifer K Plichta, Laura H Rosenberger and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

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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

13 authors at 4 institutions in 2 countries.

Ipshita PrakashDepartment of Surgery, Jewish General Hospital, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-0730-5363
N Ben NeelyDuke Department of Biostatistics & Bioinformatics, Durham, North Carolina, USA.
Samantha M ThomasDuke Department of Biostatistics & Bioinformatics, Durham, North Carolina, USA.
Sarah SammonsDuke Cancer Institute, Durham, North Carolina, USA.
Rachel C BlitzblauDuke Cancer Institute, Durham, North Carolina, USA.
Gayle A DiLallaDepartment of Surgery, Duke University School of Medicine, Durham, North Carolina, USA.
Terry HyslopDuke Department of Biostatistics & Bioinformatics, Durham, North Carolina, USA.
Carolyn S MenendezDuke Cancer Institute, Durham, North Carolina, USA.
Jennifer K PlichtaDuke Cancer Institute, Durham, North Carolina, USA.
Laura H RosenbergerDuke Cancer Institute, Durham, North Carolina, USA.
Oluwadamilola M FayanjuDivision of Endocrine and Oncologic Surgery, Department of Surgery, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, Pennsylvania, USA.
E Shelley HwangDuke Cancer Institute, Durham, North Carolina, USA.
Rachel A GreenupYale Department of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.
Duke University · USJewish General Hospital · CAYale Cancer Center · USYale University · US

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI DONNA NIEDZWIECKI · 1985 to 2026
$174.8M
Using Modifiable Risk Factors to Predict Inferior Care and Survival after Breast Cancer Diagnosis: A Novel Approach to Addressing Health DisparitiesK08CA241390 · NCI · UNIVERSITY OF PENNSYLVANIA · PI FAYANJU, OLUWADAMILOLA M. · 2019 to 2023
$1.1M
NCI NIH HHS K08 CA241390NCI NIH HHS P30 CA014236
6 · The paper itself

Abstract

backgroundControversy exists regarding the optimal sequence of chemotherapy among women with operable node-negative breast cancers with high-risk tumor biology. We evaluated national patterns of neoadjuvant chemotherapy (NACT) use among women with early-stage HER2+, triple-negative (TNBC), and high-risk hormone receptor-positive (HR+) invasive breast cancers.

methodsWomen ≥18 years with cT1-2/cN0 HER2+, TNBC, or high recurrence risk score (≥31) HR+ invasive breast cancers who received chemotherapy were identified in the National Cancer Database (2010-2016). Cochran-Armitage and logistic regression examined temporal trends and likelihood of undergoing NACT versus adjuvant chemotherapy based on patient age and molecular subtype.

resultsOverall, 96,622 patients met study criteria; 25% received NACT and 75% underwent surgery first, with comparable 5-year estimates of overall survival (0.90, 95% CI 0.892-0.905 vs 0.91, 95% CI 0.907-0.913). During the study period, utilization of NACT increased from 14% to 36% and varied according to molecular subtype (year*molecular subtype p < 0.001, p-corrected < 0.001). Women with HER2+ (OR 4.17, 95% CI 3.70-4.60, p < 0.001, p-corrected < 0.001) and TNBC (OR 3.81, 95% CI 3.38-4.31, p < 0.001, p-corrected < 0.001) were more likely to receive NACT over time, without a change in use among those with HR+ disease (OR 1.58, 95% CI 0.88-2.87, p = 0.13, p-corrected = 0.17).

conclusionAmong women with early-stage triple-negative and HER2+ breast cancers, utilization of NACT increased over time, a trend that correlates with previously reported improved rates of pCR and options post-neoadjuvant treatment with residual disease. Future research is needed to better understand multidisciplinary decisions for NACT and implications for breast cancer patients.

Indexed as

Breast NeoplasmsTriple Negative Breast NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsChemotherapy, AdjuvantFemaleHumansNeoadjuvant TherapyNeoplasm, Residualbreast cancercancer managementclinical managementneoadjuvant chemotherapysurgical oncology

Identifiers

PMID34989142
PMCPMC8855910
OpenAlexW4205507574

What OpenQuestion 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 OpenQuestion graph.