Evidence map›Paper›PMID 32889664›Full record

ArticleArchives of pharmacal research2020

Correction to: Three new ent-abietane diterpenoids from the roots of Euphorbia fischeriana and their cytotoxicity in human tumor cell lines.

Minghui Li, Fang He, Yuan Zhou, Meigui Wang, Pingde Tao, Qingmei Tu, Guanghui Lv, Xintao Chen

Open access · bronzeAbstract readPublished Erratum
In one paragraph

Article in Archives of pharmacal research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 55% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. New Phenylpropanoid fromCurrent pharmaceutical design · 2026
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Minghui LiDepartment of Pharmacy, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, People's Republic of China.
Fang HeDepartment of Pharmacy, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, People's Republic of China.
Yuan ZhouDepartment of Pharmacy, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, People's Republic of China.
Meigui WangDepartment of Pharmacy, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, People's Republic of China.
Pingde TaoDepartment of Pharmacy, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, People's Republic of China.
Qingmei TuDepartment of Pharmacy, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, People's Republic of China.
Guanghui LvDepartment of Pharmacy, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, People's Republic of China. lvguanghui0725@163.com.
Xintao ChenDepartment of Pharmacy, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, People's Republic of China. m18772836076@163.com.
Hubei University of Medicine · CNHuazhong University of Science and Technology · CNTaihe Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The article "Three new ent-abietane diterpenoids from the roots of Euphorbia fischeriana and their cytotoxicity in human tumor cell lines", written by Minghui Li, Fang He, Yuan Zhou, Meigui Wang, Pingde Tao, Qingmei Tu, Guanghui Lv, Xintao Chen, was originally published electronically on the publisher's internet portal (currently SpringerLink) on 17 April 2019 with open access. With the author(s)' decision to step back from Open Choice, the copyright of the article changed on 4 September 2020 to © The Pharmaceutical Society of Korea 2020 and the article is forthwith distributed under the terms of copyright. The original article has been corrected.

Identifiers

PMID32889664
PMCPMC7645440
OpenAlexW3083010597

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.