Evidence map›Paper›PMID 38291969›Full record

ArticleIntegrative cancer therapies

Pharmacokinetic Analysis of Prognostic Factors in Patients With Advanced-Stage Intrahepatic Cholangiocarcinoma Following the Administration of Capsule Formulation of the Standardized Extract of

Teerachat Saeheng, Juntra Karbwang, Anurak Cheomung, Nisit Tongsiri, Tullayakorn Plengsuriyakarn, Kesara Na-Bangchang

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Integrative cancer therapies. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Transcriptome and metabolome analysis ofFrontiers in plant science · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Teerachat SaehengThammasat University (Rangsit Campus), Pathumthani, Thailand.
Juntra KarbwangThammasat University (Rangsit Campus), Pathumthani, Thailand.
Anurak CheomungThammasat University (Rangsit Campus), Pathumthani, Thailand.
Nisit TongsiriSakon Nakorn Hospital, Sakon Nakorn, Thailand.
Tullayakorn PlengsuriyakarnThammasat University (Rangsit Campus), Pathumthani, Thailand.
Kesara Na-BangchangThammasat University (Rangsit Campus), Pathumthani, Thailand.ORCID 0000-0001-6389-0897
Thammasat University · THNakornthon Hospital · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA statistical model is essential in determining the appropriate predictive indicators for therapies in many types of cancers. Predictors have been compared favorably to the traditional systems for many cancers. Thus, this study has been proposed as a new standard approach. A recent study on the clinical efficacy of

methodsGroup 1 of advanced-stage ICC patients received daily doses of 1000 mg of standardized extract of the capsule formulation of AL (CMC-AL) for 90 days. Group 2 received daily doses of 1000 mg of CMC-AL for 14 days, followed by 1500 mg for 14 days, and 2000 mg for 62 days. Group 3 (control group) received palliative care. Cox proportional hazard model and Receiver Operating Characteristic (ROC) were applied to determine the cut-off values of AUC

resultsThe AUC

trial registrationTCTR20210129007 (TCTR: www.clinicaltrials.in.th).

Indexed as

AtractylodesBile Duct NeoplasmsCholangiocarcinomaBile Ducts, IntrahepaticHumansPlant ExtractsPrognosisPlant Extractsadvanced intrahepatic cholangiocarcinomabiliary tract cancerdisease control rateoverall survivalprognostic factorsprogression-free survivaltherapytumor progression

Identifiers

PMID38291969
PMCPMC10832411
OpenAlexW4391405680

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.