Evidence map›Paper›PMID 24649257›Full record

ArticleMolecular and clinical oncology2013

Survivin, Ki-67 and tumor grade as predictors of response to docetaxel-based neoadjuvant chemotherapy in locally advanced breast cancer.

Qi Lin, Yang Liu, Huiyu Chen, Yi Liu, Qiang Tang, Jing Liu, Hao Chen

Open access · bronzeAbstract read
In one paragraph

Article in Molecular and clinical oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  5. Polymorphisms in Survivin (Journal of oncology · 2019
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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 3 institutions in 1 country.

Qi LinDepartment of General Surgery, Zhongshan Hospital Affiliated to Fudan University, Shanghai 200032, P.R. China.
Yang LiuDepartment of Ultrasonography, Lianyungang First People's Hospital Affiliated to Xuzhou Medical College, Lianyungang, Jiangsu 222002, P.R. China.
Huiyu ChenDepartment of General Surgery, Lianyungang First People's Hospital Affiliated to Xuzhou Medical College, Lianyungang, Jiangsu 222002, P.R. China.
Yi LiuDepartment of Pathology, Lianyungang First People's Hospital Affiliated to Xuzhou Medical College, Lianyungang, Jiangsu 222002, P.R. China.
Qiang TangDepartment of General Surgery, Lianyungang First People's Hospital Affiliated to Xuzhou Medical College, Lianyungang, Jiangsu 222002, P.R. China.
Jing LiuDepartment of General Surgery, Lianyungang First People's Hospital Affiliated to Xuzhou Medical College, Lianyungang, Jiangsu 222002, P.R. China.
Hao ChenDepartment of Pathology, Lianyungang First People's Hospital Affiliated to Xuzhou Medical College, Lianyungang, Jiangsu 222002, P.R. China.
The First People’s Hospital of Lianyungang · CNFudan University · CNXuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The response rates to neoadjuvant chemotherapy (NAC) in patients with locally advanced breast cancer (LABC) may vary and the risks may outweigh the benefits in poorly selected patients. This study investigated whether survivin expression, high-level Ki-67 expression, estrogen-receptor (ER) tumor status and high tumor grade are able to predict response to docetaxel-based NAC in LABC patients, in order to perform breast-conserving surgery. In this study, 68 patients (IIb-IIIb) completed 4-6 cycles of TAC (75 mg/m

Indexed as

breast cancerdocetaxel-based chemotherapy regimenneoadjuvant chemotherapypredictive factors

Identifiers

PMID24649257
PMCPMC3915650
OpenAlexW1978009773

What OpenQuestion holds

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LicenceCC BY
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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.