Evidence map›Paper›PMID 30234145›Full record

ArticleOncoscience2018

A survey of current surgical treatment of early stage breast cancer in China.

Xin Zhang, Ying Wang

Open access · diamondAbstract read
In one paragraph

Article in Oncoscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 45% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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 at 2 institutions in 1 country.

Xin ZhangDepartment of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing, People's Republic of China.
Ying WangDepartment of Radiation Oncology, Chongqing University Cancer Hospital, Chongqing Cancer Institute, Chongqing Cancer Hospital, Chongqing, People's Republic of China.
Chongqing Cancer Hospital · CNChongqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this national survey is to explore the patterns of surgical management for early stage breast cancer patients in China. A paper questionnaire survey was sent to the representatives from 520 hospitals who attended an international symposium in Guangzhou, China, 2014. The questionnaire included demographic information, initials and most preferred approaches for breast cancer surgery. The results were presented descriptively. The response rate was 42.5%. Only 7% of hospitals with >50% rate of breast conserving surgery (BCS). Intraoperative frozen sections and additional cavity margins assessment were used at 88% and 30.9% of hospitals, respectively. For invasive carcinoma, 15% of participants defined an adequate margin as no tumor cells on the ink. Sentinel lymph node biopsy (SLNB) was routinely performed in 93.2% of hospitals. Only 16.6% of hospitals would embrace the conclusions of the American College of Surgeons Oncology Group (ACOSOG) Z0011 study and omit axillary lymph node dissection (ALND) for patients who fit the Z0011 criteria. The current patterns for the management of breast cancer patients are still lagging behind. Chinese doctors need to catch up with the updated results of the cutting-edge clinical studies and multiple measures are in need to improve this situation.

Indexed as

beast cancerChinacurrent treatmentquestionnaire survey

Identifiers

PMID30234145
PMCPMC6142897
OpenAlexW3021445693

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.