Evidence map›Paper›PMID 29138191›Full record

SynthesisBMJ open2017

Evaluation of guidelines regarding surgical treatment of breast cancer using the AGREE Instrument: a systematic review.

Xin Lei, Fengtao Liu, Shuying Luo, Ya Sun, Liling Zhu, Fengxi Su, Kai Chen, Shunrong Li

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 6 pooled it
–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

14 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Clinical practice guidelines in breast cancer.Current oncology (Toronto, Ont.) · 2018
    Review
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

8 authors.

Xin LeiBreast Tumour Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Fengtao LiuBreast Tumour Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Shuying LuoGuangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Ya SunBreast Tumour Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Liling ZhuBreast Tumour Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Fengxi SuBreast Tumour Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Kai ChenBreast Tumour Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Shunrong LiBreast Tumour Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMany clinical practice guidelines and consensus statements (CPGs/consensus statements) have been developed for the surgical treatments for breast cancer. This study aims to evaluate the quality of these CPGs/consensus statements.

methodsWe systematically searched the PubMed and EMBASE databases, as well as four guideline repositories, to identify CPGs and consensus statements regarding surgical treatments for breast cancer between January 2009 and December 2016. We used the Appraisal of Guidelines for Research and Evaluation (AGREE) instrument to assess the quality of the CPGs and consensus statements included. The overall assessment scores from the AGREE instrument and radar maps were used to evaluate the overall quality. We also evaluated some factors that may affect the quality of CPGs and consensus statements using the Mann-Whitney U test or Kruskal-Wallis H test. All analyses were performed using SPSS V.19.0. This systematic review was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

resultsA total of 19 CPGs and four consensus statements were included. In general, the included CPGs/consensus statements (n=23) performed well in the 'Scope and Purpose' and 'Clarity and Presentation' domains, but performed poorly in the 'Applicability' domain. The American Society of Clinical Oncology (ASCO), National Institute for Health and Care Excellence (NICE), Scottish Intercollegiate Guidelines Network (SIGN), New Zealand Guidelines Group (NZGG) and Belgium Health Care Knowledge Centre (KCE) guidelines had the highest overall quality, whereas the Saskatchewan Cancer Agency, Spanish Society of Medical Oncology (SEOM), Japanese Breast Cancer Society (JBCS) guidelines and the D.A.C.H and European School of Oncology (ESO) consensus statements had the lowest overall quality. The updating frequency of CPGs/consensus statements varied, with the quality of consensus statements generally lower than that of CPGs. A total of six, eight and five CPGs were developed in the North American, European and Asian/Pacific regions, respectively. However, geographic region was not associated with overall quality.

conclusionsThe ASCO, NICE, SIGN, NZGG and KCE guidelines had the best overall quality, and the quality of consensus statements was generally lower than that of CPGs. More efforts are needed to identify barriers and facilitators for CPGs/consensus statement implementation and to improve their applicability.

Indexed as

Breast NeoplasmsPractice Guidelines as TopicConsensus Statements as TopicFemaleHumansAGREE instrumentbreast cancerconsensusguidelinequality of guidance documentsurgerysurgical management

Identifiers

PMID29138191
PMCPMC5695453

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.