Evidence map›Paper›PMID 29785287›Full record

ReviewJournal of thoracic disease2018

Lymph node dissection during sublobar resection: why, when and how?

Pascal-Alexandre Thomas

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of thoracic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  5. Review
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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

1 author at 1 institution in 1 country.

Pascal-Alexandre ThomasDepartment of Thoracic Surgery, North Hospital, Aix-Marseille University & Assistance Publique-Hôpitaux de Marseille, Marseille, France.
Centre de Recherche en Cancérologie de Marseille · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Appropriate lymph node (LN) assessment is a hallmark of surgical quality of curative intent operations for non-small cell lung cancer (NSCLC). Even in the era of extensive pre-treatment work-up including routine PET-scanning and brain imaging, and selective invasive LN evaluation, unexpected LN metastases are found at surgery in more than 10% of patients with a cT1aN0 tumor. Systematic lymphadenectomy minimizes the risk of leaving tumor-LN behind and thus the risk of an incomplete resection, and provides the most truthful pTNM, which is decisive in directing adjuvant chemotherapy. Removal of interlobar, hilar, and mediastinal LNs is necessary during sublobar resection, as it is during lobectomy. In addition, segmental LNs should be dissected at both the resected and nonresected lobar segments, because the lymphatic flow from the resected segment can go directly to the neighboring segmental LNs to join the lymphatic network at the roots of the lobar bronchi, especially for tumors in anteriorly located segments. Finally, several anatomical studies described direct lymphatic vessels from the lower lobes into the upper lobar bronchi LN rendering also advisable clearance of the upper lobar LN in case of lower lobe NSCLC. Given that intralobar LN dissection is impossible within the remaining lobe after wedge resection, omission of segmental and intralobar LN retrieval may also explain the high incidence of loco-regional recurrence observed after wedge resection. Thus, segmentectomy should be preferred to wedge resection as the recommended type of sublobar resection.

Indexed as

lymphadenectomynon-small cell lung cancer surgery (NSCLC surgery)Segmentectomysublobar resection

Identifiers

PMID29785287
PMCPMC5949390
OpenAlexW2784196511

What OpenQuestion holds

Textmetadata
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.