Evidence map›Paper›PMID 19800460›Full record

ArticleAmerican journal of surgery2009

Predictors of complete pathological response after neoadjuvant systemic therapy for breast cancer.

Marcus C Tan, Fatema Al Mushawah, Feng Gao, Rebecca L Aft, William E Gillanders, Timothy J Eberlein, Julie A Margenthaler

Abstract read
In one paragraph

Article in American journal of surgery, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

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  17. Metabolic Radiomics for PretreatmentScientific reports · 2017
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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

7 authors at 1 institution in 1 country.

Marcus C TanDepartment of Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Fatema Al Mushawah
Feng Gao
Rebecca L Aft
William E Gillanders
Timothy J Eberlein
Julie A Margenthaler
Washington University in St. Louis · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
NCI NIH HHS P30 CA091842
6 · The paper itself

Abstract

backgroundThe aim of the current study was to identify predictors of pathologic complete response (pCR) following neoadjuvant therapy.

methodsFrom 2000 to 2007, 518 breast cancer patients received neoadjuvant therapy. Data were compared using chi(2) and Fisher's exact tests and multivariate analysis of variance, as appropriate.

resultsOf 518 breast cancer patients receiving neoadjuvant therapy, 81 (16%) had pCR (77 of 456 [17%] with chemotherapy, 4 of 62 [6%] with endocrine therapy; P < .05). Four factors were associated with pCR: higher tumor grade (P = .015), lack of estrogen receptor (ER) and progesterone receptor (PR) expression (P < .0001), HER2/neu amplification (P = .025), and negative lymph node status (P < .0001). On multivariate analysis, ER and PR negativity, HER2/neu amplification, and negative lymph node status were found to significantly correlate with pCR.

conclusionsPatients with ER-negative and PR-negative and HER2/neu-amplified breast cancer phenotypes are more likely to experience pCR to neoadjuvant therapy. Although pCR is more frequently observed following neoadjuvant chemotherapy, it is rare following neoadjuvant endocrine therapy.

Indexed as

AdultAgedAged, 80 and overAntineoplastic AgentsBreast NeoplasmsFemaleHumansMiddle AgedNeoadjuvant TherapyRemission InductionAntineoplastic Agents

Identifiers

PMID19800460
PMCPMC3924770
OpenAlexW2094718541

What OpenQuestion holds

Textmetadata
LicenceTDM
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.