Prompting functions as a measurement condition that alters LLM coding behavior. We examined whether few-shot prompting improves GPT-based qualitative coding in systematic reviews. Contrary to expectations, we found that the zero-shot approach produced the highest agreement with human coders, suggesting increasing conservatism as more prompt structure was added.