Evidence map›Paper›PMID 29344414›Full record

ReviewAging and disease2017

Herba Cistanches: Anti-aging.

Ningqun Wang, Shaozhen Ji, Hao Zhang, Shanshan Mei, Lumin Qiao, Xianglan Jin

Abstract readReview
In one paragraph

Review in Aging and disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Rapid authentication of endangeredFrontiers in plant science · 2025
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  8. Frontiers in pharmacology · 2025
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  9. Article
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  12. Article
  13. Review
  14. Review
  15. Article
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  17. Article
  18. Review
  19. Article
  20. Valorization of Polysaccharides FromFrontiers in pharmacology · 2022
    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.

Ningqun Wang1Department of Traditional Chinese Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Shaozhen Ji2Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Hao Zhang3Department of Radiology, Dongfang Hospital of Beijing University of Chinese Medicine, Beijing 100078, China.
Shanshan Mei2Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Lumin Qiao4Department of Emergency, Traditional Chinese Medicine Hospital of Yinchuan, Ningxia Hui Nationality Autonomous Region 750001, China.
Xianglan Jin5Department of Neurology, Dongfang Hospital of Beijing University of Chinese Medicine, Beijing 100078, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Cistanche species ("Rou Cong Rong" in Chinese) is an endangered wild species growing in arid or semi-arid areas. The dried fleshy stem of Cistanches has been used as a tonic in China for many years. Modern pharmacological studies have since demonstrated that Herba Cistanches possesses broad medicinal functions, especially for use in anti-senescence, anti-oxidation, neuroprotection, anti-inflammation, hepatoprotection, immunomodulation, anti-neoplastic, anti-osteoporosis and the promotion of bone formation. This review summarizes the up-to-date and comprehensive information on Herba Cistanches covering the aspects of the botany, traditional uses, phytochemistry and pharmacology, to lay ground for fully elucidating the potential mechanisms of Herba Cistanches' anti-aging effect and promote its clinical application as an anti-aging herbal medicine.

Indexed as

anti-oxidationanti-senescenceHerba Cistanchesneuroprotection

Identifiers

PMID29344414
PMCPMC5758349

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.