Evidence map›Paper›PMID 28161935›Full record

ArticleCancer research and treatment2017

Can We Skip Intraoperative Evaluation of Sentinel Lymph Nodes? Nomogram Predicting Involvement of Three or More Axillary Lymph Nodes before Breast Cancer Surgery.

Soo Kyung Ahn, Min Kyoon Kim, Jongjin Kim, Eunshin Lee, Tae-Kyung Yoo, Han-Byoel Lee, Young Joon Kang, Jisun Kim, Hyeong-Gon Moon, Jung Min Chang and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Cancer research and treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.8field-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

16 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. 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

15 authors at 4 institutions in 1 country.

Soo Kyung AhnDepartment of Surgery, Hallym University Kangnam Sacred Heart Hospital, Seoul, Korea.
Min Kyoon KimDepartment of Surgery, Chung-Ang University College of Medicine, Seoul, Korea.
Jongjin KimDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.
Eunshin LeeDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.
Tae-Kyung YooDepartment of Surgery, Seoul St. Mary's Hospital, Seoul, Korea.
Han-Byoel LeeDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.
Young Joon KangDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.
Jisun KimDepartment of Surgery, Asan Medical Center, Seoul, Korea.
Hyeong-Gon MoonDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.
Jung Min ChangDepartment of Radiology, Seoul National University College of Medicine, Seoul, Korea.
Nariya ChoDepartment of Radiology, Seoul National University College of Medicine, Seoul, Korea.
Woo Kyung MoonDepartment of Radiology, Seoul National University College of Medicine, Seoul, Korea.
In Ae ParkDepartment of Pathology, Seoul National University College of Medicine, Seoul, Korea.
Dong-Young NohDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.
Wonshik HanDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea.
Seoul National University · KRChung-Ang University · KRHallym University Kangnam Sacred Heart Hospital · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe American College of Surgeons Oncology Group Z0011 trial reported that complete dissection of axillary lymph nodes (ALNs) may not be warranted in women with clinical T1-T2 tumors and one or two involved ALNs who were undergoing lumpectomy plus radiation followed by systemic therapy. The present study was conducted to identify preoperative imaging predictors of ≥ 3 ALNs. MATERIALS AND

methodsThe training set consisted of 1,917 patients with clinical T1-T2 and node negative invasive breast cancer. Factors associated with ≥ 3 involved ALNs were evaluated by logistic regression analysis. The validation set consisted of 378 independent patients. The nomogram was applied prospectively to 512 patients who met the Z0011 criteria.

resultsOf the 1,917 patients, 204 (10.6%) had ≥ 3 positive nodes. Multivariate analysis showed that involvement of ≥ 3 nodes was significantly associated with ultrasonographic and chest computed tomography findings of suspicious ALNs (p < 0.001 each). These two imaging criteria, plus patient age, were used to develop a nomogram calculating the probability of involvement of ≥ 3 ALNs. The areas under the receiver operating characteristic curve of the nomogram were 0.852 (95% confidence interval [CI], 0.820 to 0.883) for the training set and 0.896 (95% CI, 0.836 to 0.957) for the validation set. Prospective application of the nomogram showed that 60 of 512 patients (11.7%) had scores above the cut-off. Application of the nomogram reduced operation time and cost, with a very low re-operation rate (1.6%).

conclusionPatients likely to have ≥ 3 positive ALNs could be identified by preoperative imaging. The nomogram was helpful in selective intraoperative examination of sentinel lymph nodes.

Indexed as

Intraoperative CarePreoperative CareAdultAgedAged, 80 and overAxillaBiomarkers, TumorBreast NeoplasmsClinical Decision-MakingDisease ManagementFemaleHumansLymphatic MetastasisLymph Node ExcisionMiddle AgedNomogramsBiomarkers, TumorAxilla sonographyBreast neoplasmsChestComputed tomographyNomogramsSentinel lymph nodeZ0011

Identifiers

PMID28161935
PMCPMC5654155
OpenAlexW2581720388

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.