Evidence map›Paper›PMID 32747982›Full record

ArticleSurgery today2021

The neutrophil-to-lymphocyte ratio as a novel independent prognostic factor for multiple metastatic lung tumors from various sarcomas.

Hiromasa Yamamoto, Kei Namba, Haruchika Yamamoto, Tomohiro Toji, Junichi Soh, Kazuhiko Shien, Ken Suzawa, Takeshi Kurosaki, Shinji Otani, Mikio Okazaki and 6 more

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Article in Surgery today, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 10 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

16 authors at 2 institutions in 1 country.

Hiromasa YamamotoDepartment of Thoracic Surgery, Okayama University Hospital, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan. h.yamamoto@md.okayama-u.ac.jp.ORCID http://orcid.org/0000-0002-5330-5460
Kei NambaDepartment of Thoracic Surgery, Okayama University Hospital, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
Haruchika YamamotoDepartment of Thoracic Surgery, Okayama University Hospital, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
Tomohiro TojiDepartment of Diagnostic Pathology, Okayama University Hospital, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
Junichi SohDepartment of Thoracic Surgery, Okayama University Hospital, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
Kazuhiko ShienDepartment of Thoracic Surgery, Okayama University Hospital, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
Ken SuzawaDepartment of Thoracic Surgery, Okayama University Hospital, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
Takeshi KurosakiDepartment of Thoracic Surgery, Okayama University Hospital, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
Shinji OtaniDepartment of Thoracic Surgery, Okayama University Hospital, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
Mikio OkazakiDepartment of Thoracic Surgery, Okayama University Hospital, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
Seiichiro SugimotoDepartment of Thoracic Surgery, Okayama University Hospital, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
Masaomi YamaneDepartment of Thoracic Surgery, Okayama University Hospital, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
Katsuhito TakahashiCenter for Multidisciplinary Treatment of Sarcoma, Department of Sarcoma Medicine, Kameda Medical Center, 929 Higashi-cho, Kamogawa, Chiba, 296-8602, Japan.
Toshiyuki KunisadaDepartment of Orthopedic Surgery, Okayama University Hospital, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
Takahiro OtoDepartment of Thoracic Surgery, Okayama University Hospital, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
Shinichi ToyookaDepartment of Thoracic Surgery, Okayama University Hospital, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
Okayama University Hospital · JPKameda Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSarcomas are among the most refractory malignant tumors and often recur as pulmonary metastasis. Although the presence of a high neutrophil-to-lymphocyte ratio (NLR) has been associated with the prognosis of several malignancies, the relationship between the NLR and sarcoma with pulmonary metastasis is unclear. We investigated the impact of the NLR in patients who underwent surgical resection for metastatic lung tumors from various sarcomas.

methodsThe subjects of this retrospective study were 158 patients with metastatic lung tumors from various sarcomas, who underwent initial pulmonary metastasectomy between 2006 and 2015. We examined the clinicopathological variables, including the NLR and the characteristics of surgical procedures. Survival was estimated by the Kaplan-Meier method and prognostic factors were evaluated by multivariate analysis.

resultsMultivariate analysis revealed significantly better survival of the group with an NLR < 2.26 immediately before the most recent pulmonary metastasectomy, in addition to such factors as the largest resected lesion being < 22 mm, a disease-free interval of > 2 years, and 3 or more pulmonary metastasectomies.

conclusionThe NLR immediately before the most recent pulmonary metastasectomy is a novel independent prognostic factor, which may be helpful when considering repeated pulmonary metastasectomy.

Indexed as

Leukocyte CountLymphocyte CountNeutrophilsAdultAgedBiomarkers, TumorDisease-Free SurvivalFemaleHumansLung NeoplasmsMaleMiddle AgedPneumonectomyPrognosisReoperationRetrospective StudiesBiomarkers, TumorMetastasectomyMetastatic lung tumorNeutrophil-to-lymphocyte ratio (NLR)SarcomaSurvival rate

Identifiers

PMID32747982
OpenAlexW3047342779

What OpenQuestion holds

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Registered trials

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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.