Evidence map›Paper›PMID 29384910›Full record

ArticleMedicine2017

Ultrasound for postoperative surveillance after mastectomy in patients with breast cancer: A retrospective study.

Yu-Qing Liu, Jia-Nan Dong, Qing-Xin Meng, Ping Sun, Jing Zhang

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 52% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Yu-Qing LiuDepartment of Anatomy, Mudanjiang Medical University, Mudanjiang Department of Ultrasound, Inner Mongolia Forestry General Hospital, Hulunbeier Department of Rehabilitation Laboratory, Mudanjiang Medical University Department of Ultrasound, The Second Affiliated Hospital of Mudanjiang Medical University, Mudanjiang, China.
Jia-Nan Dong
Qing-Xin Meng
Ping Sun
Jing Zhang
Mudanjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the clinical usefulness of postoperative surveillance by ultrasound (PSU) in patients after breast cancer surgery.In this retrospective study, 324 patients with breast cancer after mastectomy were included between January 2006 and December 2008. The final-positive lesions (FPL) were diagnosed according to the results of cytopathology, clinical and imaging examinations. The outcome evaluations included the sensitivity (SS), specificity (SC), ultrasound accuracy for FPL (UAFPL), and positive predictive value (PPV) after the mastectomy.A total of 5117 ultrasound examinations were conducted for all those patients to the December 2016. After mastectomy, the SS, SC, UAFPL, and PPV were as follows: mastectomy bed (SS, 100.0%; SC, 99.7%; UAFPL, 99.7%; and PPV, 36.0%), contralateral breast (SS, 100.0%; SC, 99.0%; UAFPL, 99.0%; and PPV, 25.4%), ipsilateral axillary or supraclavicular (SS, 91.7%; SC, 99.4%; UAFPL, 99.4%; and PPV, 25.6%), and contralateral axilla or supraclavicular lymph nodes (SS, 100.0%; SC, 99.9%; UAFPL, 99.9%; and PPV, 33.3%).In summary, we demonstrated that applied PSU can detect the malignant lesions in the breast regional area with high sensitivity, specificity and accuracy.

Indexed as

MastectomyUltrasonographyAdultBreast NeoplasmsCarcinomaChinaFemaleHumansMiddle AgedRetrospective StudiesSensitivity and SpecificityTreatment Outcome

Identifiers

PMID29384910
PMCPMC6393135
OpenAlexW2778467602

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.