Evidence map›Paper›PMID 30045266›Full record

Observational studyMedicine2018

Preoperative assessment of axillary lymph node status in breast cancer patients by ultrasonography combined with mammography: A STROBE compliant article.

Qun Liu, Peng Xing, Huiting Dong, Tingting Zhao, Feng Jin

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Qun LiuBreast Division, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Peng Xing
Huiting Dong
Tingting Zhao
Feng Jin
First Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preoperative assessment of nodal stage is of importance in breast cancer treatment decision-making. This study was done to determine the power of combined mammography and ultrasonography in differentiating N0-N1 from N2-N3 breast cancer.We retrospectively reviewed clinical data of 3944 female patients with invasive breast cancer by preoperative mammography and ultrasonography between January 2006 and December 2013 at our hospital. Pathological diagnosis was available for each patient. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of mammography alone, ultrasonography alone, and combination of them for assessment of axillary lymph node (ALN) status were calculated, using definitive histological results as the baseline.The sensitivity, specificity, PPV, NPV, and accuracy was 90.4%, 68.2%, 36.5%, 97.2%, and 71.9% for ultrasonography; was 66.9%, 80.8%, 41.3%, 92.3%, and 78.4% for mammography; and was 94.9%, 62.4%, 33.8%, and 98.4% for combined mammography and ultrasonography. For combination, accuracy and the area under the receiver operating characteristic curve was 67.9% and 0.85, respectively.In conclusion, combining ultrasonography and mammography improves the sensitivity in differentiating N0-N1 breast cancer from N2-N3 breast cancer, but leading to a reduced specificity. Addition of mammography to ultrasonography seems not to provide significant benefits in predicting ALN status in breast cancer patients.

Indexed as

Breast NeoplasmsAdultAgedAxillaBiopsy, Fine-NeedleChinaFemaleHumansLymphatic MetastasisLymph NodesMammographyMiddle AgedNeoplasm StagingPreoperative CareReproducibility of ResultsRetrospective Studies

Identifiers

PMID30045266
PMCPMC6078763
OpenAlexW2883764811

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.