Evidence map›Paper›PMID 41127619›Full record

ArticleFrontiers in microbiology2025

Chinese herbal medicine promotes growth by improving nutrient utilization and rumen microbiota in suckling lambs.

Yan Wang, Yinglian Wu, Rongyan Qin, Xiangyu Chen, Limeng Liu, Lele Wang, Wenqi Wang, Yanfeng Liu

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Yan WangFeed Research Institute, Xinjiang Uygur Autonomous Region Academy of Animal Science, Ürümqi, China.
Yinglian WuFeed Research Institute, Xinjiang Uygur Autonomous Region Academy of Animal Science, Ürümqi, China.
Rongyan QinFeed Research Institute, Xinjiang Uygur Autonomous Region Academy of Animal Science, Ürümqi, China.
Xiangyu ChenFeed Research Institute, Xinjiang Uygur Autonomous Region Academy of Animal Science, Ürümqi, China.
Limeng LiuFeed Research Institute, Xinjiang Uygur Autonomous Region Academy of Animal Science, Ürümqi, China.
Lele WangFeed Research Institute, Xinjiang Uygur Autonomous Region Academy of Animal Science, Ürümqi, China.
Wenqi WangFeed Research Institute, Xinjiang Uygur Autonomous Region Academy of Animal Science, Ürümqi, China.
Yanfeng LiuFeed Research Institute, Xinjiang Uygur Autonomous Region Academy of Animal Science, Ürümqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the effects of compound Chinese herbal medicine (CCHM) on nutrient digestibility, rumen fermentation parameters, and microbial structure in suckling lambs. Sixty Lambs born as twins (from the same ewe), each 8 days old, were randomly assigned to two groups. The control and treatment groups received 0 and 0.2% CCHM in the basal diet, respectively. Digestion experiments were conducted during the trial. Rumen fluid samples were collected from slaughtered lambs in the final week for microbiome analysis. The results indicated that average daily gain and average daily feed intake were significantly improved by CCHM. The apparent digestibility of dry matter and acid detergent fiber also increased significantly. CCHM supplementation elevated Ammonia nitrogen (NH3-N), total volatile fatty acids (TVFAs), acetate, and propionate concentrations in the rumen. The relative abundance of Firmicutes, Actinobacteria, Patescibacteria,

Indexed as

carbohydrate-active enzymescompound Chinese herbal medicinelambrumen fermentationrumen microbiota

Identifiers

PMID41127619
PMCPMC12537886

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.