Trial reportWorld journal of surgical oncology2016
Surgical anatomy of the internal thoracic lymph nodes in fresh human cadavers: basis for sentinel node biopsy.
Trial report in World journal of surgical oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 18 citations in OpenAlex.
- Article
- Robotic approach for lymphadenectomy of internal mammary lymph nodes in breast cancer: Five case reports.World journal of clinical oncology · 2025Article
- Article
- A preliminary study on diffusion-weighted imaging with background suppression and maximum intensity projection for screening internal mammary lymph node metastasis of breast cancer.Acta radiologica open · 2025Article
- Ultrasound assessment of lymph nodes for staging of gynecological cancer: consensus opinion on terminology and examination technique.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2025Article
- Internal mammary lymph node metastases in breast cancer: what should radiologists know?Japanese journal of radiology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhile the optimal management of early breast cancer patients with sentinel lymph node (SLN) involvement mapped in the internal thoracic chain is still debated, biopsy may be performed when surgeons select patients who are most likely to benefit. The aim of this study is to examine anatomical aspects of internal thoracic nodes (ITNs) to orientate SLN biopsy in the parasternal area.
methodsThis study was based on dissections of 29 female cadavers. The parameters analyzed were the number of intercostal spaces (ICSs) containing at least one ITN, mean number of nodes in each ICS, position of the ITNs in relation to the internal thoracic artery (ITA), number of retrocostal spaces (RCSs) containing at least one ITN, and mean number of nodes in each RCS.
resultsThe ICS that was most likely to have at least one ITN was the third, with 86.2% in the right side and 75.8% in the left side. In the second ICS, the rates were 69.2 and 73.6%, and in the fourth, the rates were 48.1 and 33.3%. In the third ICS, on both sides, the mean number of ITNs was the highest (1.2). A tendency of the nodes to be laterally located in the second ICS and medially located in the downward dissection was observed. Most of the RCSs did not present any nodes.
conclusionsThis study indicates that most of the second and third ICSs presented at least one ITN, and the mean number of nodes in the third space was greater. There is a tendency to find nodes medial to the artery downwards from the second to the fourth ICS. ITNs are generally located in ICSs, and the majority of RCSs did not contain any nodes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.