Evidence map›Paper›PMID 29431027›Full record

Trial reportIntegrative cancer therapies2018

A Controlled Trial of Sheng-Yu-Tang for Post-Hematopoietic Stem Cell Transplantation Leukemia Patients: A Proposed Protocol and Insights From a Preliminary Pilot Study.

Tom Fleischer, Tung-Ti Chang, Jen-Huai Chiang, Hung-Rong Yen

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Integrative cancer therapies, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

Tom Fleischer1 China Medical University, Taichung, Taiwan.
Tung-Ti Chang1 China Medical University, Taichung, Taiwan.
Jen-Huai Chiang1 China Medical University, Taichung, Taiwan.
Hung-Rong Yen1 China Medical University, Taichung, Taiwan.ORCID 0000-0002-0131-1658
China Medical University · TWAsia University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHematopoietic stem cell transplantation has become a well-established treatment for hematologic disorders including acute leukemia. However, long-term survival rates following this procedure are still extremely low, due to posttransplantation relapse, infections, and graft-versus-host disease. We propose that adjunctive Chinese herbal medicine may benefit posttransplantation patients. In preparation for a randomized clinical trial, we conducted a pilot trial. Methods and Analysis: Between September 2015 and June 2017, 18 patients were consecutively enrolled at China Medical University Hospital and followed for up to 1 year. Fresh blood samples were obtained on a monthly basis, and immune reconstitution was analyzed. In addition to the standard-care treatment administered by their oncologist, a number of patients also received a Chinese herbal formula (Sheng-Yu-Tang) for up to 6 months. Results were used to improve on study protocol and estimate required sample size for a future randomized trial. Ethics and Dissemination: Study protocol was approved by the institutional review board of China Medical University Hospital (DMR-105-005), and all participants provided informed consent.

Indexed as

AdultAgedDrugs, Chinese HerbalFemaleHematopoietic Stem Cell TransplantationHumansLeukemiaMaleMiddle AgedPilot ProjectsDrugs, Chinese Herbalacute leukemiaChinese herbal medicineHSCTimmune reconstitution

Identifiers

PMID29431027
PMCPMC6142101
OpenAlexW2793170117

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.