Evidence map›Paper›PMID 24163290›Full record

ArticlePathology oncology research : POR2014

Trastuzumab-induced systemic capillary leak syndrome in a breast cancer patient.

Fan Zhang, Junlan Yang, Zijian Li

Abstract readCase Reports
PubMed Publisher
In one paragraph

Article in Pathology oncology research : POR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Anticancer Drug-Induced Capillary Leak Syndrome.Kidney international reports · 2022
    Review
  3. Article
  4. 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

3 authors at 2 institutions in 1 country.

Fan ZhangKey Laboratory, Tumor Center, PLA General Hospital, Beijing, China.
Junlan Yang
Zijian Li
Chinese PLA General Hospital · CNNingbo No.6 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic capillary leak syndrome (SCLS) is a rare health condition. It is characterized by recurrent episodes of generalized edema and severe hypotension along with hypoproteinemia. The condition is under recognized because of its nonspecific signs and symptoms, and high mortality rate. SCLS triggered by trastuzumab, a target drug for Her2-positive breast cancer patients, has not been previously reported. A 59-year-old Chinese woman, diagnosed with breast cancer with accompanying liver and bone metastasis, was treated with 3 cycles of docetaxel with capecitabine and a regimen of 12 cycles of capecitabine with trastuzumab. The patient developed systemic capillary leak syndrome during the 16th cycle of chemotherapy. Post-diagnosis treatment regimen is also presented in the current case report. SCLS has been previously observed in breast cancer patients. However, SCLS incidence post-chemotherapeutic treatment with trastuzumab has not been reported elsewhere. Hence, our report highlights the need for rigorous investigation of the side effects of trastuzumab usage and the increasing need of insightful diagnosis to manage any incidence of SCLS. The case provides valuable experience for treating the uncommon adverse effects of trastuzumab in Her2-positive breast cancer patients.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsCapecitabineCapillary Leak SyndromeDeoxycytidineDocetaxelFemaleFluorouracilHumansMiddle AgedTaxoidsTrastuzumabAntibodies, Monoclonal, HumanizedCapecitabineDeoxycytidineDocetaxelFluorouracilTaxoidsTrastuzumab

Identifiers

PMID24163290
OpenAlexW2025347825

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.