Evidence map›Paper›PMID 32107582›Full record

ArticleAbdominal radiology (New York)2020

Apparent diffusion coefficient value of mass-forming intrahepatic cholangiocarcinoma: a potential imaging biomarker for prediction of lymph node metastasis.

Yang Zhou, Guofeng Zhou, Xuan Gao, Chen Xu, Xiaolin Wang, Pengju Xu

Abstract read
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. New Imaging Techniques.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2023
    Article
  5. Review
  6. Article
  7. 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

6 authors at 2 institutions in 1 country.

Yang ZhouDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Guofeng ZhouShanghai Institute of Medical Imaging, Shanghai, 200032, China.
Xuan GaoShanghai Institute of Medical Imaging, Shanghai, 200032, China.
Chen XuDepartment of Pathology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
Xiaolin WangShanghai Institute of Medical Imaging, Shanghai, 200032, China.
Pengju XuShanghai Institute of Medical Imaging, Shanghai, 200032, China. xpjbfc@163.com.ORCID http://orcid.org/0000-0002-0832-083X
Shanghai Institute of Hematology · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare the differences of MR features between mass-forming intrahepatic cholangiocarcinoma (IMCC) with and without lymph node metastasis (LNM) and to search for new imaging biomarkers for predicting LNM. MATERIALS AND

methodsThe study included 91 patients with histopathologically confirmed single IMCC (20 patients with LNM and 71 patients without LNM). Findings of preoperative MR imaging including diffusion-weighted imaging (DWI) (b value 0, 500 mm

resultsLarger tumor size (p = 0.001), diameter of largest lymph node (LN) > 1 cm (p < 0.001), higher ADC value of primary IMCC lesion (ADC

conclusionADC

Indexed as

Bile Duct NeoplasmsCholangiocarcinomaLymphatic MetastasisBile Ducts, IntrahepaticBiomarkersDiffusion Magnetic Resonance ImagingHumansBiomarkersDiffusion-weighted imaging (DWI)Lymph node metastasis (LNM)Magnetic resonance imaging (MRI)Mass-forming intrahepatic cholangiocarcinoma (IMCC)

Identifiers

PMID32107582
OpenAlexW3008231142

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.