Evidence map›Paper›PMID 36689090›Full record

Trial reportHepatology international2023

A preoperative scoring system to predict lymph node metastasis in intrahepatic cholangiocarcinoma.

Hyungjin Rhee, Hyun-Ji Lim, Kyunghwa Han, Suk-Keu Yeom, Sang Hyun Choi, Ji Hoon Park, Eun-Suk Cho, Sumi Park, Mi-Jung Lee, Gi Hong Choi and 3 more

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Hepatology international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 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

13 authors at 5 institutions in 1 country.

Hyungjin Rhee *Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0000-0001-7759-4458
Hyun-Ji Lim *Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0000-0001-5537-2360
Kyunghwa HanDepartment of Radiology, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, College of Medicine, Yonsei University, Seoul, Korea.ORCID http://orcid.org/0000-0002-5687-7237
Suk-Keu YeomDepartment of Radiology, Korea University Ansan Hospital, Korea University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-3390-9793
Sang Hyun ChoiDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.ORCID http://orcid.org/0000-0002-6898-6617
Ji Hoon ParkDepartment of Radiology, Seoul National University Bundang Hospital, Gyeonggi-Do, Republic of Korea.ORCID http://orcid.org/0000-0002-6794-4909
Eun-Suk ChoDepartment of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine Seoul, Seoul, Republic of Korea.
Sumi ParkDepartment of Radiology, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea.
Mi-Jung LeeDepartment of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0000-0003-3244-9171
Gi Hong ChoiDepartment of Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-1593-3773
Dai Hoon HanDepartment of Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-2787-7876
Seung Soo LeeDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea. seungsoolee@amc.seoul.kr.ORCID http://orcid.org/0000-0002-5518-2249
Mi-Suk ParkDepartment of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722, Republic of Korea. radpms@yuhs.ac.ORCID http://orcid.org/0000-0001-5817-2444
Yonsei University · KRUlsan College · KRKorea University Medical Center · KRNational Health Insurance Service Ilsan Hospital · KRSeoul National University Bundang Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe abnormality of imaging finding of lymph node (LN) has demonstrated unsatisfactory diagnostic accuracy for pathologic lymph node metastasis (LNM). We aimed to develop and validate a simple scoring system predicting LNM in patients with intrahepatic cholangiocarcinoma (iCCA) prior to surgery based on MRI and clinical findings.

methodsWe retrospectively enrolled consecutive patients who underwent surgical resection for treatment-naïve iCCA from six institutions between January 2009 and December 2015. Patients who underwent lymph node dissection (LND) were randomly assigned to the training and validation cohorts at a 2:1 ratio, an¹ìd pathologic LN status was evaluated. Patients who did not undergo LND were assigned to the test cohort, and clinical LN status was evaluated. Using MRI and clinical findings, a preoperative LNM score was developed in the training cohort and validated in the validation and test cohorts.

resultsThe training, validation, and test cohorts included 102, 53, and 118 patients, respectively. The preoperative LNM score consisted of serum carcinoembryonic antigen and two MRI findings (suspicious LN and bile duct invasion). The preoperative LNM score was associated with pathologic LNM in training (p < 0.001) and validation (p = 0.010) cohorts and clinical LNM in test cohort (p < 0.001). The preoperative LNM score outperformed MRI-suspicious LN alone in predicting pathologic LNM (area under the curve, 0.703 vs. 0.604, p = 0.004). The preoperative LNM score was also associated with overall survival in all cohorts (p < 0.001).

conclusionsOur preoperative LNM score was significantly associated with pathologic or clinical LNM and outperformed MRI-suspicious LN alone.

Indexed as

Bile Duct NeoplasmsCholangiocarcinomaBile Ducts, IntrahepaticHumansLymphatic MetastasisRetrospective StudiesBile duct invasionCarbohydrate antigen 19-9Carcinoembryonic antigenComputed tomographyDisease-free survivalIntrahepatic cholangiocarcinomaLymph node metastasisMagnetic resonance imagingOverall survival

Identifiers

PMID36689090
OpenAlexW4317726930

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.