Evidence map›Paper›PMID 31673536›Full record

ArticleHepatobiliary surgery and nutrition2019

Perioperative characteristics and management of liver transplantation for isolated methylmalonic acidemia-the largest experience in China.

Yi-Zhou Jiang, Li-Ying Sun, Zhi-Jun Zhu, Lin Wei, Wei Qu, Zhi-Gui Zeng, Ying Liu, Yu-Le Tan, En-Hui He, Rui-Fang Xu and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Hepatobiliary surgery and nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. The concept of "domino" in liver and hepatocyte transplantation.Therapeutic advances in gastroenterology · 2020
    Review
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

13 authors at 3 institutions in 2 countries.

Yi-Zhou JiangDepartment of Liver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Li-Ying SunDepartment of Liver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Zhi-Jun ZhuDepartment of Liver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Lin WeiDepartment of Liver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Wei QuDepartment of Liver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Zhi-Gui ZengDepartment of Liver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Ying LiuDepartment of Liver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Yu-Le TanDepartment of Liver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
En-Hui HeDepartment of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Rui-Fang XuDepartment of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Liang ZhangDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Jun WangDepartment of Liver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Xiao-Jie ChenDepartment of Liver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Beijing Friendship Hospital · CNCapital Medical University · CNIntensive Care Society · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are few detailed consensus and guidelines on perioperative clinical characteristics of liver transplantation (LT) in patients with methylmalonic acidemia (MMA). This retrospective study investigated details of the clinical course and individualized treatment plan of the center with largest experience in China.

methodsA total of 7 MMA patients undergoing LT in Beijing Friendship Hospital from June 2013 to December 2017 were enrolled in the study, whose clinical data (clinical characteristics, laboratory findings, chronological changes in urine MMA levels, treatment, etc.) during perioperative period were analyzed retrospectively. All the patients received strict postoperative management.

resultsAll the 7 cases were confirmed to have isolated MMA, among which, 3 cases received living donor liver transplantation (LDLT), 4 cases received deceased donor liver transplantation (DDLT). A wild fluctuate of metabolic condition was observed within the first few days after surgery and two weeks after LT, the mean base excess of blood value (BE-B) restored to normal whereas plasma bicarbonate (HCO

conclusionsLT is an effective treatment to prevent metabolic crisis, but patients with MMA tend to be metabolically fragile even after surgery. During perioperative period, close monitoring should be given for acidosis episodes so as to implement sodium bicarbonate correction. Metabolism-correcting medications are still needed. Special immunosuppressive regimen is an effective way of maintaining renal function for those with kidney dysfunction.

Indexed as

liver transplantation (LT)methylmalonic acidMethylmalonic acidemia (MMA)perioperative management

Identifiers

PMID31673536
PMCPMC6791977
OpenAlexW2921152252

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.