Evidence map›Paper›PMID 31388825›Full record

ArticleSurgery today2020

The postoperative platelet distribution width is useful for predicting the prognosis in patients with esophageal squamous cell carcinoma.

Tomoyuki Matsunaga, Hiroaki Saito, Yoji Fukumoto, Shota Shimizu, Yusuke Kono, Yuki Murakami, Yuji Shishido, Kozo Miyatani, Manabu Yamamoto, Naruo Tokuyasu and 4 more

Abstract read
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Article in Surgery today, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

4 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

14 authors at 1 institution in 1 country.

Tomoyuki MatsunagaDivision of Surgical Oncology, Department of Surgery, School of Medicine, Faculty of Medicine, Tottori University, 36-1 Nishi-cho, Yonago, 683-8504, Japan.
Hiroaki SaitoDivision of Surgical Oncology, Department of Surgery, School of Medicine, Faculty of Medicine, Tottori University, 36-1 Nishi-cho, Yonago, 683-8504, Japan. sai10@med.tottori-u.ac.jp.
Yoji FukumotoDivision of Surgical Oncology, Department of Surgery, School of Medicine, Faculty of Medicine, Tottori University, 36-1 Nishi-cho, Yonago, 683-8504, Japan.
Shota ShimizuDivision of Surgical Oncology, Department of Surgery, School of Medicine, Faculty of Medicine, Tottori University, 36-1 Nishi-cho, Yonago, 683-8504, Japan.
Yusuke KonoDivision of Surgical Oncology, Department of Surgery, School of Medicine, Faculty of Medicine, Tottori University, 36-1 Nishi-cho, Yonago, 683-8504, Japan.
Yuki MurakamiDivision of Surgical Oncology, Department of Surgery, School of Medicine, Faculty of Medicine, Tottori University, 36-1 Nishi-cho, Yonago, 683-8504, Japan.
Yuji ShishidoDivision of Surgical Oncology, Department of Surgery, School of Medicine, Faculty of Medicine, Tottori University, 36-1 Nishi-cho, Yonago, 683-8504, Japan.
Kozo MiyataniDivision of Surgical Oncology, Department of Surgery, School of Medicine, Faculty of Medicine, Tottori University, 36-1 Nishi-cho, Yonago, 683-8504, Japan.
Manabu YamamotoDivision of Surgical Oncology, Department of Surgery, School of Medicine, Faculty of Medicine, Tottori University, 36-1 Nishi-cho, Yonago, 683-8504, Japan.
Naruo TokuyasuDivision of Surgical Oncology, Department of Surgery, School of Medicine, Faculty of Medicine, Tottori University, 36-1 Nishi-cho, Yonago, 683-8504, Japan.
Shuichi TakanoDivision of Surgical Oncology, Department of Surgery, School of Medicine, Faculty of Medicine, Tottori University, 36-1 Nishi-cho, Yonago, 683-8504, Japan.
Teruhisa SakamotoDivision of Surgical Oncology, Department of Surgery, School of Medicine, Faculty of Medicine, Tottori University, 36-1 Nishi-cho, Yonago, 683-8504, Japan.
Soichiro HonjoDivision of Surgical Oncology, Department of Surgery, School of Medicine, Faculty of Medicine, Tottori University, 36-1 Nishi-cho, Yonago, 683-8504, Japan.
Yoshiyuki FujiwaraDivision of Surgical Oncology, Department of Surgery, School of Medicine, Faculty of Medicine, Tottori University, 36-1 Nishi-cho, Yonago, 683-8504, Japan.
Tottori University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe platelet distribution width (PDW) is reportedly useful as a prognostic indicator for some cancers. However, its prognostic significance in esophageal squamous cell carcinoma (ESCC) is unclear.

methodsWe enrolled 104 patients with thoracic ESCC, who underwent curative esophagectomy.

resultsReceiver operating curve analyses indicated that the optimal cut-off values of pre- and postoperative PDW were 16.9 and 17.0, respectively. The 5-year overall survival (OS) rate was significantly lower in patients with a high-preoperative PDW (≥ 16.9; 52.6%) than in those with a low-preoperative PDW (< 16.9; 61.0% P = 0.045). The 5-year disease-specific survival (DSS) rates were 64.3% in patients with a high-preoperative PDW and 69.3% in those with a low-preoperative PDW (P = 0.13). Regarding the postoperative PDW, the 5-year OS rate was significantly lower in patients with a high-postoperative PDW (≥ 17.0; 35.7%) than in those with a low-postoperative PDW (< 17.0; 66.8% P = 0.0017). The 5-year DSS rates were 52.2% in patients with a high-postoperative PDW and 73.2% in those with a low-postoperative PDW (P = 0.037). Finally, a multivariate analysis revealed that the postoperative PDW but not the preoperative PDW was an independent prognostic factor.

conclusionsThe postoperative PDW was useful for predicting the prognosis of patients with ESCC.

Indexed as

Blood PlateletsBiomarkersCarcinoma, Squamous CellEsophageal NeoplasmsForecastingHumansPostoperative PeriodPrognosisSurvival RateBiomarkersEsophageal cancerPlatelet distribution widthPrognosisRecurrence

Identifiers

PMID31388825
OpenAlexW2964482012

What OpenQuestion holds

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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.